SousChef

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

No annotations are provided, so the description carries full burden. It mentions analysis and recommendations but doesn't disclose behavioral traits like whether this is a read-only operation, what format the analysis takes, whether it's computationally intensive, or if there are any prerequisites. The description is functional but lacks operational context needed for an agent to use it effectively.

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 well-structured with clear sections (purpose, Args, Returns). Each sentence earns its place by conveying essential information. However, the 'Args' and 'Returns' labels are somewhat redundant with the structured schema fields, and the description could be more front-loaded with the core purpose.

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 has an output schema (which handles return values) but no annotations and 0% schema description coverage, the description is moderately complete. It covers the basic purpose and parameters but lacks behavioral context and differentiation from sibling tools. For a migration analysis tool with multiple similar alternatives, more contextual guidance would be beneficial.

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 provides basic meaning for both parameters ('cookbook_path' and 'application_type') in the Args section, explaining what they represent. However, it doesn't provide format details, constraints, or examples (e.g., what paths are valid, what application_type values are supported beyond 'web_application'). The description adds some value but doesn't fully compensate for the schema coverage gap.

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: analyzing Chef cookbooks for deployment patterns and providing migration recommendations. It specifies the resource (Chef cookbook) and verb (analyze for patterns, provide recommendations). However, it doesn't explicitly differentiate from siblings like 'assess_chef_migration_complexity' or 'generate_migration_report' which might have overlapping functionality.

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 focused on Chef-to-Ansible migration analysis (e.g., 'assess_chef_migration_complexity', 'generate_migration_report'), there's no indication of when this specific pattern analysis tool is preferred or what distinguishes it from other migration assessment tools.

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