SousChef

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions the tool analyzes and extracts patterns, but doesn't describe how it behaves: e.g., whether it reads files only, if it modifies anything, error handling, performance characteristics, or authentication needs. For a tool with no annotations, this leaves significant gaps in understanding its operational traits.

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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by brief sections for args and returns. There's no wasted text, though the structure could be more integrated (e.g., combining purpose with parameter context). It earns its place efficiently.

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 one parameter with 0% schema coverage and an output schema exists (implied by 'Returns' statement), the description is moderately complete. It covers the basic purpose and parameter, and the output schema handles return values, but it lacks behavioral details and usage context, which are important for a tool with no annotations and many sibling tools.

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 description coverage is 0%, so the description must compensate. It adds minimal value: it names the parameter ('recipe_or_cookbook_path') and indicates it's a path to a file or directory, but doesn't specify format (e.g., absolute/relative path), supported file types, or constraints. With only one parameter, this is somewhat adequate but lacks detail needed for full understanding.

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: 'Analyze Chef recipes/cookbooks to extract search patterns for inventory planning.' It specifies the verb ('analyze'), resource ('Chef recipes/cookbooks'), and outcome ('extract search patterns for inventory planning'). However, it doesn't explicitly differentiate from sibling tools like 'convert_chef_search_to_inventory' or 'generate_inventory_from_chef_environments', which appear related to inventory generation from Chef data.

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. With many sibling tools related to Chef analysis and inventory generation (e.g., 'convert_chef_search_to_inventory', 'generate_inventory_from_chef_environments'), there's no indication of specific use cases, prerequisites, or exclusions. The tool's purpose is clear, but context for selection among similar tools is missing.

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