get_application

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It states this is a read operation retrieving data, which is transparent. However, it does not disclose potential behaviors such as data freshness limits, required permissions, or response size constraints. The transparency is adequate but not thorough.

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 a summary line, bulleted list of returned categories, and an Args section. It is concise and front-loaded with the essential information. Every part serves a purpose, though the bullet list could be slightly condensed. Overall, it is efficient without being overly brief.

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?

The description provides a good overview of the tool's output (performance, health, incidents, deployment history) and the required parameters. Given that an output schema exists, the description does not need to detail return types. However, given the many sibling tools, a more explicit scope definition (e.g., 'single application') and potential limitations (e.g., pagination) would improve completeness. It is adequate but not fully comprehensive.

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 input schema has no descriptions for any parameters (0% coverage). The description's Args section adds minimal meaning: it repeats parameter names, notes that timestamps are optional, and provides a format hint for app_id ('namespace/kind/name'). This compensates somewhat, but does not explain expected types (e.g., timestamp format) or default behaviors fully. A higher score would require richer parameter documentation.

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 'Get application details and metrics' and enumerates specific categories (performance, health, incidents, deployments). It uses a specific verb and resource. However, it does not differentiate itself from sibling tools like get_application_logs or get_application_profiling, which retrieve more focused aspects. This lack of distinction prevents a top 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 lists what the tool returns but does not provide guidance on when to use this tool versus alternatives such as get_application_logs or get_application_traces. There is no explicit 'when to use' or 'when not to use' advice, making it less helpful for an agent choosing among many similar tools.

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