local_extract_json

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description states the core behavior—extracting JSON—and implies a read-only operation, but it does not describe error handling, validation behavior, or how the optional model parameter affects execution. Since no annotations are present, the description carries the burden but only partially fulfills it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence with no redundant or irrelevant content. It conveys the essential purpose without wasting words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description omits important context such as the output format details, the role of the model parameter, and how to choose this tool over similar siblings. An agent would need additional information to use the tool effectively in all relevant scenarios.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description implicitly maps 'content' to 'unstructured text' and 'schema_description' to 'target schema description', but the 'model' parameter is completely unexplained. With zero structured schema coverage, the description does not sufficiently compensate by clarifying all parameter roles and expected formats.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('Extract structured JSON'), the input type ('unstructured text, logs, or documentation'), and the guiding constraint ('according to a target schema description'). This is sufficient for an agent to understand the tool's primary function.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus overlapping sibling tools like local_summarize_and_extract or local_chunked_summary. It implies usage when a schema is available, but does not state conditions, alternatives, or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.