ptero_ai_panel_totals

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

No annotations are provided, so the description carries the burden. It reveals the tool returns counts and is token-efficient, but it does not specify which resources are included, whether any side effects exist, or the output format (though an output schema exists).

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 a single sentence that is concise and front-loaded with the key action and resource. Every word contributes meaning.

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?

For a tool with no parameters and an output schema, the description is adequate but incomplete. It does not list which 'common Application API resources' are covered, leaving the agent to infer from context or the output schema.

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 parameters (coverage 100%), so the description adds full meaning beyond the schema. It explains the tool's purpose and the 'token-efficient' aspect, though it could be more specific about which resources are included.

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 verb 'Return' and the resource 'counts (totals) for common Application API resources.' It also adds the distinctive qualifier 'token-efficient,' which distinguishes it from sibling tools that return full resource details.

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 implies that this tool is for obtaining totals, which is a specific use case, but it does not explicitly state when to use it versus alternatives like the more detailed 'get' or 'list' tools. No exclusion or alternative guidance is provided.

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