extract_structured_data

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

No annotations are provided, so the description carries the full burden. It indicates extraction is safe (read-only implied) and mentions free tier limitations. However, it lacks details on error handling, rate limits beyond the free tier, and behavior for unsupported or malformed input.

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 extremely concise: two sentences front-loading the core purpose and then providing essential supplementary info. Every sentence is useful with no filler.

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 tool has no output schema, so the description should ideally describe the returned JSON structure. It only states 'structured JSON' vaguely. The description is adequate for basic use but leaves out output format details and error 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?

Schema coverage is 100%, so parameters are already documented. The description adds value by explaining the api_key parameter's purpose and how to obtain one, and it clarifies the supported schemas beyond the enum values.

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 the tool extracts structured JSON from unstructured text and lists supported schemas (receipt, invoice, email, resume, contact, custom). It directly defines the verb, resource, and scope without ambiguity.

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 provides context on limitations (free tier of 10 requests) and how to obtain an API key for more requests. While there are no sibling tools to distinguish, this guidance helps the agent understand usage constraints.

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