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 performs a conversion but doesn't explain how it handles errors, what the conversion logic entails (e.g., mapping rules), or any performance considerations. This leaves significant gaps in understanding the tool's behavior beyond basic functionality.

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, starting with the core purpose followed by structured sections for Args and Returns. Every sentence adds value, with no redundant information, though the formatting as a docstring could be slightly more streamlined for readability.

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 (4 parameters, no annotations, but with an output schema), the description is partially complete. It covers input parameters well and notes the return format (YAML representation), but lacks details on conversion behavior, error handling, or usage context, which are important for a transformation tool without annotations.

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 substantial meaning beyond the input schema, which has 0% description coverage. It explains each parameter's purpose (e.g., 'resource_type' as Chef resource type with examples like 'package'), clarifies defaults (e.g., action defaults to 'create'), and describes 'properties' as additional resource properties in string form. This compensates well for the schema's lack of documentation.

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 with a specific verb ('Convert') and resource ('Chef resource to an Ansible task'), distinguishing it from siblings like 'convert_chef_databag_to_vars' or 'generate_playbook_from_recipe' which handle different conversion types. It precisely defines the transformation scope.

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 like 'generate_playbook_from_recipe' or other conversion tools in the sibling list. It lacks context about prerequisites, typical scenarios, or exclusions, leaving usage decisions ambiguous.

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