SousChef

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions encryption handling and output formats (YAML/vault), but doesn't cover critical aspects like error handling, performance implications, authentication needs, or whether the operation is read-only or modifies data. For a tool with 5 parameters and no annotation coverage, this is inadequate.

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 well-structured with clear sections (purpose, Args, Returns) and uses minimal sentences that earn their place. It's appropriately sized for the tool's complexity, though the parameter documentation could be more integrated rather than listed separately.

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 (5 parameters, conversion operation) with no annotations but an output schema, the description covers the basic transformation purpose and parameters adequately. However, it lacks sufficient context about the conversion process, edge cases, or integration with sibling tools, making it minimally complete but with clear gaps.

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?

With 0% schema description coverage, the description compensates well by documenting all 5 parameters in the Args section with clear explanations of each parameter's purpose. It adds meaningful context beyond the bare schema, though it could provide more detail about format expectations (e.g., JSON structure for databag_content).

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 specific verbs ('Convert') and resources ('Chef data bag to Ansible variables format'), distinguishing it from siblings like 'generate_ansible_vault_from_databags' which focuses on vault creation rather than format conversion. It precisely defines the transformation operation.

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_ansible_vault_from_databags' or other conversion tools in the sibling list. It lacks context about prerequisites, typical migration scenarios, or exclusions, offering only basic functional information.

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