Weatherapi Com MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool returns 'matching cities and towns,' which implies a read-only, non-destructive operation, but doesn't cover critical aspects like rate limits, authentication needs, error handling, or response format. For a tool with zero annotation coverage, this is a significant gap in transparency.

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: 'Search or Autocomplete API returns matching cities and towns.' It is front-loaded with the core purpose and contains no redundant or verbose elements, 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 the tool's complexity (handling diverse query types like coordinates, names, and codes), lack of annotations, and absence of an output schema, the description is incomplete. It doesn't explain the return format (e.g., structure of matching results), error conditions, or usage constraints, leaving gaps that could hinder effective agent operation.

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 100% description coverage, with the 'q' parameter fully documented in the schema itself (e.g., supporting latitude/longitude, city names, zip codes). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for high schema coverage without compensating value.

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's purpose: 'Search or Autocomplete API returns matching cities and towns.' It specifies the action (search/autocomplete) and the resource (cities and towns). However, it doesn't explicitly distinguish this from sibling tools like 'ip_lookup_api' or 'realtime_weather_api' beyond the resource focus, which prevents a perfect 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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'ip_lookup_api' (which might handle IP-based lookups) or 'forecast_weather_api' (which might provide weather data for locations), nor does it specify prerequisites or exclusions for usage. This leaves the agent with minimal contextual direction.

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