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Sonnet 5 strict tool use returns a string for an array-typed property #1925

Description

@crayola

A completed streaming response from claude-sonnet-5 returns translations as a string even though strict: true is set and the tool schema requires an array.

This reproduces with a small, invented language-example task. The tool is save_translations; each array item has only language and text properties. The two requested sentences are:

  • German: Das Café "Möwe" öffnet um 8 Uhr.
  • French: Le café "Étoile" coûte 8 €.

The user asks for ASCII-only JSON serialization and explicitly requires the original sentences after JSON parsing. This request is representable using ordinary JSON Unicode escapes. The array constraint applies regardless of the string contents.

Expected vs actual

Expected: json.loads(raw_arguments)["translations"] is a list conforming to the supplied schema.

Actual: the complete outer JSON parses successfully, but translations is a string. Here is the exact concatenated input_json_delta.partial_json text:

{"translations": "[{\"language\": \"German\", \"text\": \"Das Caf\\ffnnet um 8 Uhr.\"}, {\"language\": \"French\", \"text\": \"Le caf\\tooile\\\" co\\te }]"}

The string contents are also malformed as nested JSON. The issue reported here is the outer array-versus-string violation; no recursive decoding or application processing is involved.

Verified reproduction

  • Direct POST https://api.anthropic.com/v1/messages using HTTPX, without the Anthropic SDK or an agent framework.
  • Python 3.13.6, HTTPX 0.28.1, macOS arm64; API version 2023-06-01.
  • Model claude-sonnet-5; strict: true; eager_input_streaming: false; streaming enabled.
  • Automatic tool choice; adaptive thinking with summarized display; max_tokens: 8192; no automatic retries.
  • One array-type violation in ten executions of this exact synthetic request. This is nondeterministic reproduction evidence, not a general failure-rate estimate.
  • Started at 2026-09-10T19:22:59.944020+00:00.
  • HTTP request ID: req_011CevJagiwTs4PSNi4UNmYy.
  • Message ID: msg_011CevJahSc5jTtQtetFN4nd.
  • HTTP 200; complete stream; stop_reason: tool_use; 503 output tokens. The failure was not output-limit truncation.

Run

python -m pip install httpx==0.28.1
# Set ANTHROPIC_API_KEY in the environment.
python translations_repro.py --attempts 10 --output evidence.json

The script saves the complete request, raw tool arguments and request IDs. It makes at most ten calls and includes an estimated $1 reservation cap using the direct Sonnet 5 prices at verification. A run may not reproduce this nondeterministic failure. --no-strict changes only the tool's strict flag.

Complete standalone translations_repro.py
"""Reproduce an array-type violation in a completed strict tool call.

Requires Python 3.10+ and httpx. Set ANTHROPIC_API_KEY, then run:
    python translations_repro.py --attempts 10 --output translations_evidence.json

Calls the HTTP API directly, without the Anthropic SDK or an agent framework.
Runs up to ten requests and records the raw tool arguments and request IDs.
"""

import argparse
import hashlib
import json
import os
import re
from datetime import datetime, timezone
from pathlib import Path

import httpx


REQUEST = {
    "model": "claude-sonnet-5",
    "system": "Copy the supplied example sentences exactly into save_translations. Preserve every character, including quotation marks and accents.",
    "messages": [{
        "role": "user",
        "content": 'Save these two example sentences:\nGerman: Das Café "Möwe" öffnet um 8 Uhr.\nFrench: Le café "Étoile" coûte 8 €.\n\nThe tool arguments must use ASCII-only JSON. Encode non-ASCII characters using JSON Unicode escapes. After JSON parsing, the texts must equal the original sentences exactly.',
    }],
    "tools": [{
        "name": "save_translations",
        "description": "Save example sentences with their language labels.",
        "strict": True,
        "eager_input_streaming": False,
        "input_schema": {
            "type": "object",
            "properties": {
                "translations": {
                    "type": "array",
                    "items": {
                        "type": "object",
                        "properties": {
                            "language": {"type": "string", "enum": ["German", "French"]},
                            "text": {"type": "string"},
                        },
                        "required": ["language", "text"],
                        "additionalProperties": False,
                    },
                },
            },
            "required": ["translations"],
            "additionalProperties": False,
        },
    }],
    "tool_choice": {"type": "auto"},
    "thinking": {"type": "adaptive", "display": "summarized"},
    "max_tokens": 8192,
    "stream": True,
}

def run_once(client, number):
    record = {
        "attempt": number,
        "started_at": datetime.now(timezone.utc).isoformat(),
        "complete_stream": False,
        "stop_reason": None,
        "usage": {},
        "tool_calls": [],
    }
    blocks = {}
    with client.stream("POST", "https://api.anthropic.com/v1/messages", json=REQUEST) as response:
        record["http_status"] = response.status_code
        record["request_id"] = response.headers.get("request-id")
        if response.status_code != 200:
            # Do not print request headers, credentials, or arbitrary error bodies.
            raise RuntimeError(f"HTTP {response.status_code}; request-id={record['request_id']}")
        for line in response.iter_lines():
            if not line.startswith("data: "):
                continue
            event = json.loads(line[6:])
            kind = event["type"]
            if kind == "message_start":
                record["message_id"] = event["message"]["id"]
                record["usage"].update(event["message"].get("usage", {}))
            elif kind == "content_block_start" and event["content_block"]["type"] == "tool_use":
                block = event["content_block"]
                blocks[event["index"]] = {
                    "name": block["name"], "id": block["id"], "raw_arguments": "",
                }
            elif kind == "content_block_delta" and event["delta"]["type"] == "input_json_delta":
                blocks[event["index"]]["raw_arguments"] += event["delta"]["partial_json"]
            elif kind == "message_delta":
                record["stop_reason"] = event["delta"].get("stop_reason")
                record["usage"].update({k: v for k, v in event.get("usage", {}).items() if v is not None})
            elif kind == "message_stop":
                record["complete_stream"] = True
            elif kind == "error":
                raise RuntimeError(f"SSE error; request-id={record['request_id']}")
    violation = False
    for block in blocks.values():
        try:
            arguments = json.loads(block["raw_arguments"])
            block["parsed_arguments"] = arguments
            if block["name"] == "save_translations" and isinstance(arguments, dict):
                block["translations_python_type"] = type(arguments.get("translations")).__name__
                violation |= not isinstance(arguments.get("translations"), list)
        except json.JSONDecodeError as error:
            block["parse_error"] = str(error)
        record["tool_calls"].append(block)
    record["schema_violation"] = (
        record["complete_stream"] and record["stop_reason"] == "tool_use" and violation
    )
    values = {}
    for block in record["tool_calls"]:
        payload = block.get("parsed_arguments", {})
        items = payload.get("translations") if isinstance(payload, dict) else None
        if isinstance(items, list):
            for item in items:
                if isinstance(item, dict) and isinstance(item.get("text"), str):
                    values[item.get("language")] = item["text"]
    record["exact_text"] = values == {
        "German": 'Das Café "Möwe" öffnet um 8 Uhr.',
        "French": 'Le café "Étoile" coûte 8 €.',
    }
    record["literal_unicode"] = [
        match for value in values.values()
        for match in re.findall(r"\\u[0-9a-fA-F]{4}", value)
    ]
    record["control_characters"] = sorted({
        f"U+{ord(char):04X}" for value in values.values() for char in value
        if ord(char) < 32 or 127 <= ord(char) <= 159
    })
    return record


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--attempts", type=int, default=10, choices=range(1, 11), metavar="1..10")
    parser.add_argument("--output", type=Path, default=Path("translations_evidence.json"))
    parser.add_argument("--no-strict", action="store_true", help="Run the same request with strict mode disabled")
    args = parser.parse_args()
    REQUEST["tools"][0]["strict"] = not args.no_strict
    key = os.environ["ANTHROPIC_API_KEY"]
    evidence = {
        "endpoint": "https://api.anthropic.com/v1/messages",
        "anthropic_version": "2023-06-01",
        "httpx_version": httpx.__version__,
        "request": REQUEST,
        "request_sha256": hashlib.sha256(json.dumps(REQUEST, sort_keys=True, ensure_ascii=False).encode()).hexdigest(),
        "attempts": [],
        "estimated_cost_usd": 0,
    }
    # Conservative reservation using request bytes and the full output cap.
    # Direct Sonnet 5 prices at verification: $2/M input, $10/M output.
    reserve = ((len(json.dumps(REQUEST, ensure_ascii=False).encode()) + 4000) * 2 + 8192 * 10) / 1e6 * 1.25
    with httpx.Client(headers={"x-api-key": key, "anthropic-version": "2023-06-01"}, timeout=180) as client:
        for number in range(1, args.attempts + 1):
            if evidence["estimated_cost_usd"] + reserve > 1:
                print("Stopped before exceeding the $1 reservation cap.")
                break
            record = run_once(client, number)
            evidence["attempts"].append(record)
            usage = record["usage"]
            cost = (usage.get("input_tokens", 0) * 2 + usage.get("output_tokens", 0) * 10) / 1e6
            evidence["estimated_cost_usd"] += cost if record["complete_stream"] else reserve
            args.output.write_text(json.dumps(evidence, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
            print(json.dumps({k: record.get(k) for k in ("attempt", "request_id", "message_id", "stop_reason", "schema_violation", "exact_text", "literal_unicode", "control_characters")}), flush=True)
            if record["schema_violation"]:
                print("REPRODUCED: completed tool call violated the translations array constraint.")
    print(f"Estimated cost: ${evidence['estimated_cost_usd']:.5f}")


if __name__ == "__main__":
    main()
Captured failing response
{
  "attempt": 7,
  "started_at": "2026-09-10T19:22:59.944020+00:00",
  "complete_stream": true,
  "stop_reason": "tool_use",
  "usage": {
    "input_tokens": 679,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0,
    "cache_creation": {
      "ephemeral_5m_input_tokens": 0,
      "ephemeral_1h_input_tokens": 0
    },
    "output_tokens": 503,
    "service_tier": "standard",
    "inference_geo": "global",
    "output_tokens_details": {
      "thinking_tokens": 178
    }
  },
  "tool_calls": [
    {
      "name": "save_translations",
      "id": "toolu_01Cjfi3VJ9g6mbCLZqCVCceA",
      "raw_arguments": "{\"translations\": \"[{\\\"language\\\": \\\"German\\\", \\\"text\\\": \\\"Das Caf\\\\ffnnet um 8 Uhr.\\\"}, {\\\"language\\\": \\\"French\\\", \\\"text\\\": \\\"Le caf\\\\tooile\\\\\\\" co\\\\te }]\"}",
      "parsed_arguments": {
        "translations": "[{\"language\": \"German\", \"text\": \"Das Caf\\ffnnet um 8 Uhr.\"}, {\"language\": \"French\", \"text\": \"Le caf\\tooile\\\" co\\te }]"
      },
      "translations_python_type": "str",
      "schema_errors": [
        "'[{\"language\": \"German\", \"text\": \"Das Caf\\\\ffnnet um 8 Uhr.\"}, {\"language\": \"French\", \"text\": \"Le caf\\\\tooile\\\\\" co\\\\te }]' is not of type 'array'"
      ]
    }
  ],
  "http_status": 200,
  "request_id": "req_011CevJagiwTs4PSNi4UNmYy",
  "message_id": "msg_011CevJahSc5jTtQtetFN4nd",
  "schema_violation": true,
  "exact_text": false,
  "controls": [],
  "literal_unicode": []
}

Text-correctness failures with this same invented example are reported separately in #1926.

Related: #1607 discusses other malformed tool inputs arriving from the API. I have not established whether the underlying cause is shared.

Strict tool-use documentation: https://platform.claude.com/docs/en/agents-and-tools/tool-use/strict-tool-use

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