Weatherapi Com MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns an array of alerts, but does not describe key traits such as data freshness, rate limits, authentication needs, error handling, or what happens if no alerts are found. This leaves significant gaps in understanding how the tool behaves in practice.

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 the core functionality. It avoids unnecessary words and directly states what the tool does. However, it could be slightly improved by structuring key details (e.g., behavior or usage) more explicitly, but it is well-sized for its purpose.

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 lack of annotations and output schema, the description is incomplete. It does not explain the return format (beyond 'array'), error conditions, or practical usage context. For a tool with no structured behavioral data, more details on outputs and limitations are needed to adequately inform 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?

The input schema has 100% description coverage, with the parameter 'q' documented as a string example ('london'). The description adds that it is for 'the location provided,' clarifying the parameter's purpose as a location query. However, it does not provide additional semantics like format constraints or examples beyond the schema, so it meets 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 tool's purpose: it returns alerts and warnings from government agencies as an array based on a location input. It specifies the verb ('returns'), resource ('alerts and warnings'), and scope ('government agencies in USA, UK, Europe and Rest of the World'). However, it does not explicitly differentiate from sibling tools like weather or sports APIs, which lowers it from 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 mentions the tool returns alerts 'if available for the location provided,' which implies a condition but does not specify when to choose this over other tools (e.g., for safety vs. weather information). No exclusions or prerequisites are stated, leaving usage unclear.

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