Project

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

Annotations indicate read/write capability and non-destructive nature. The description adds behavioral details like the GitHub-linked repo requirement for create and case-insensitive name resolution. No contradiction with annotations.

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 concise with bullet points for actions, front-loading the main purpose. Every sentence is informative, with no unnecessary filler.

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 no output schema, the description adequately explains return values for get (full detail) and list (paginated summaries). It also notes the repository requirement for create and where to perform update/delete. Could be slightly more detailed on action exclusivity, but sufficient.

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 coverage is 100% with parameter descriptions. The description adds value by grouping parameters per action, explaining the conditional pairs (teamUuid/teamName, repoUuid/repoName), and clarifying name matching behavior.

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 manages DebuggAI projects and lists three specific actions (get, list, create) with their resource outcomes. It distinguishes itself from sibling tools which handle other aspects like environments or test cases.

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 explicitly tells when to use each action with required parameters and provides an exclusion: 'Note: there is no update/delete here — rename/delete a project from the DebuggAI web app.' This gives clear guidance on alternatives.

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