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

Beyond the basic annotations, the description provides crucial operational behavioral traits, such as the automatic RSS feed update and the feature enabling logic: 'Turns the changelog on if it's off.' This adds necessary context about state management.

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 highly efficient, combining the core action, a specific complex feature mode, and a state-switching side effect into one concise and readable paragraph.

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 medium complexity and the richness of the schema, the description is fully complete. It explains the primary functional decisions an agent might need to make (manual entry vs. store pull) to execute the tool correctly.

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?

Although schema coverage is 100%, the description provides critical functional semantics for parameters, specifically detailing the practical meaning and behavioral consequence of setting 'from_store=true' (pull version and notes from the store listing).

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 function: 'Add a release to your site's public changelog.' It specifies the outcome (and RSS feed inclusion), making it extremely clear for an agent.

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?

While it doesn't explicitly compare itself to siblings, it provides a key conditional usage: 'Give version and notes, or from_store=true to add the store listing's current version and What's new.' This defines a specific mode of operation for the agent.

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