get-contour-maps-by-geographic-bounding-box-pm25

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

No annotations are provided, so the description carries full burden. It mentions output format (KML) and data type (current/historical PM2.5), but lacks critical behavioral details such as rate limits, authentication needs, data freshness, error handling, or what 'contour maps' entail (e.g., resolution, units). For a tool with no annotations, this is insufficient.

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, efficient sentence that front-loads key information (action, resource, format, method). Every word contributes directly to the tool's purpose without redundancy or fluff, making it highly concise and well-structured.

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 annotations, no output schema, and a tool that fetches environmental data (which may involve complexities like data latency or accuracy), the description is incomplete. It lacks details on output structure, error cases, performance expectations, or how results integrate with sibling tools, leaving significant gaps for an AI agent.

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 100%, providing detailed parameter documentation. The description adds minimal value beyond the schema, only implying that parameters define the bounding box and date for PM2.5 data. No additional semantics or usage context are provided, meeting the baseline for high schema coverage.

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 action ('Get'), resource ('PM2.5 contour maps'), and format ('in KML'), with geographic bounding box as the method. It distinguishes from some siblings by specifying PM2.5 (vs. ozone or combined pollutants) and bounding box method, though not all sibling distinctions are explicit.

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 usage for current or historical PM2.5 contour maps via bounding box, but lacks explicit guidance on when to choose this over alternatives like sibling tools for ozone, combined pollutants, or different geographic methods (e.g., zip code, lat-long). No exclusions or prerequisites are mentioned.

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