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 mentions that the tool 'Generate[s] Ansible Vault files' and returns a 'Summary of converted data bags and instructions', which implies a read-and-write operation but does not detail permissions, side effects, error handling, or performance characteristics. This is inadequate for a tool that likely involves file system operations and data conversion.

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 and concise, with a clear opening sentence followed by bullet points for arguments and returns. Each sentence earns its place by providing essential information without redundancy, making it easy to parse and understand quickly.

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 complexity (converting Chef data bags to Ansible Vault files) and the presence of an output schema, the description is reasonably complete. It explains the tool's purpose, parameters, and return value. However, it lacks details on behavioral aspects like error handling or dependencies, which could be important for a migration tool, but the output schema mitigates some of this gap.

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 schema description coverage is 0%, so the description must compensate. It adds meaningful context for all three parameters: 'databags_directory' is explained as 'Path to Chef data_bags directory', 'output_directory' as 'Target directory for Ansible variables (group_vars/host_vars)', and 'encryption_key_hint' as 'Hint for identifying encrypted data bags'. This clarifies the purpose and usage of each parameter beyond the basic schema.

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 Ansible Vault files from Chef data bags directory.' It specifies the verb ('Generate'), resource ('Ansible Vault files'), and source ('Chef data bags directory'), making the function unambiguous. However, it does not explicitly differentiate from sibling tools like 'convert_chef_databag_to_vars', which might have overlapping functionality, so it falls short of a perfect score.

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 lacks context such as prerequisites, when-not-to-use scenarios, or comparisons to sibling tools like 'convert_chef_databag_to_vars' or 'generate_awx_inventory_source_from_chef'. This omission leaves the agent without clear usage instructions.

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