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VykosMoltandClaude
dbfc96b8f3
generate_image existed in the prompt sections, the executor and the image_gen MCP server, but not in FUNCTION_TOOL_SCHEMAS. API models are only sent schemas from that list, so the tool selector could pick it and the schema filter would drop it again — the model then improvised text-shaped calls it had no way to make work. The existing JSON fallback in function_call_to_tool_block already produces content the executor parses, so no converter branch is needed. A required-args entry is, though: without it a prompt-less call falls through to the line parser and the whole JSON blob becomes the image prompt. Fixes #5520 Co-Authored-By: Claude <noreply@anthropic.com>
62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
"""Issue #5520 — generate_image had no native function schema.
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The tool exists in the fenced-block prompt, the executor, and the image_gen MCP
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server, but not in FUNCTION_TOOL_SCHEMAS. API models (native function calling)
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are only sent schemas from that list, so they could never call it and improvised
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malformed text calls instead.
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"""
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import json
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def _schemas():
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import src.agent_tools # noqa: F401 (tool_schemas <-> agent_tools import cycle)
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from src.tool_schemas import FUNCTION_TOOL_SCHEMAS
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return {s["function"]["name"]: s["function"] for s in FUNCTION_TOOL_SCHEMAS}
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def _convert(arguments):
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import src.agent_tools # noqa: F401
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from src.tool_schemas import function_call_to_tool_block
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return function_call_to_tool_block("generate_image", json.dumps(arguments))
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def test_generate_image_is_offered_to_native_function_calling_models():
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schemas = _schemas()
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assert "generate_image" in schemas, (
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"generate_image has no native schema, so it is filtered out of the tools "
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"sent to API models even when the selector picks it"
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)
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assert schemas["generate_image"]["parameters"]["required"] == ["prompt"]
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def test_native_call_reaches_the_executor_with_its_arguments_intact():
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from src.tool_execution import _build_mcp_args
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args = {"prompt": "a cat riding a bicycle", "model": "gpt-image-1",
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"size": "1024x1024", "quality": "high"}
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block = _convert(args)
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assert block is not None and block.tool_type == "generate_image"
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assert _build_mcp_args("generate_image", block.content) == args
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def test_call_without_a_prompt_is_rejected_instead_of_drawing_its_own_arguments():
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"""No prompt key means the line parser takes the whole JSON blob as the prompt,
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so the model gets an image of its own arguments."""
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assert _convert({"size": "512x512"}) is None
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assert _convert({}) is None
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assert _convert({"prompt": " "}) is None
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def test_advertised_parameters_are_the_ones_the_image_server_accepts():
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"""Anything the schema advertises but the executor drops is a silent no-op."""
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from mcp_servers.image_gen_server import list_tools
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import asyncio
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server_schema = asyncio.run(list_tools())[0].inputSchema
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assert set(_schemas()["generate_image"]["parameters"]["properties"]) == set(
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server_schema["properties"]
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)
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