SousChef

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool generates a script but does not explain how it processes the JSON input, whether it validates queries, handles errors, or produces executable output. This leaves key behavioral traits unspecified for a tool with mutation implications.

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 front-loaded with the core purpose in the first sentence, followed by brief but clear sections for Args and Returns. Every sentence earns its place without redundancy, making it efficiently structured and easy to parse.

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?

Given the tool's moderate complexity (1 parameter, no annotations, but with an output schema), the description is reasonably complete. It covers the purpose, parameter semantics, and return value, though it lacks usage guidelines and detailed behavioral context, which the output schema does not compensate for.

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 adds significant meaning beyond the input schema, which has 0% coverage. It explains that 'search_queries' is a 'JSON string containing Chef search queries and group names,' clarifying the parameter's content and structure, though it could detail the JSON schema or examples.

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's purpose: 'Generate a Python dynamic inventory script from Chef search queries.' It specifies the verb ('Generate'), resource ('Python dynamic inventory script'), and source ('Chef search queries'), distinguishing it from siblings like 'convert_chef_search_to_inventory' by focusing on script generation rather than direct conversion.

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 no guidance on when to use this tool versus alternatives. It does not mention sibling tools like 'convert_chef_search_to_inventory' or 'generate_inventory_from_chef_environments', nor does it specify prerequisites or exclusions, leaving usage context unclear.

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