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 'monitoring and automated rollback' in the Returns section, which adds some context beyond basic functionality, but it does not cover critical aspects like required permissions, potential side effects, error handling, or rate limits. For a tool that generates deployment strategies, this is a significant gap in transparency.

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 for the main purpose, Args, and Returns. It uses bullet-like formatting for parameters and is front-loaded with the core functionality. However, the 'Returns' section could be more concise, and some sentences (e.g., in parameter descriptions) are slightly verbose without adding critical value, but overall it is efficient with minimal waste.

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 (generating deployment strategies), no annotations, and an output schema exists (implied by 'Has output schema: true'), the description is moderately complete. It covers the purpose, parameters, and return intent, but lacks details on behavioral traits, error cases, and integration context. The output schema should handle return values, so the description's focus on high-level return aspects is adequate but not thorough for a tool of this nature.

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 lists parameters in an 'Args' section with brief explanations (e.g., 'Name of the application for canary deployment'), which adds meaning beyond the schema's titles. However, it does not fully detail parameter constraints, formats (e.g., expected string formats for 'rollout_steps'), or examples, leaving some ambiguity. The baseline is low due to poor schema coverage, and the description provides moderate but incomplete compensation.

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 canary deployment strategy with gradual rollout.' It specifies the verb ('Generate'), resource ('Ansible canary deployment strategy'), and key feature ('gradual rollout'). However, it does not explicitly distinguish this tool from sibling tools like 'generate_blue_green_deployment_playbook', which might handle a different deployment strategy, so it misses full sibling differentiation.

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 does not mention any prerequisites, context for canary deployments, or comparisons with sibling tools such as 'generate_blue_green_deployment_playbook' or other deployment-related tools in the list. Usage is implied only by the tool's name and description, lacking explicit when/when-not instructions.

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