wikipedia_test_wikipedia_connectivity

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

The description adds behavioral context beyond annotations by specifying the return payload (base API URL, language, site information, response time) and the failure behavior (status 'failed' with error details). This is useful supplementary information, especially given the readOnly and idempotent annotations already present.

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 two sentences, front-loaded with the main purpose, and every word adds value. It avoids redundancy and is appropriately sized for the tool's simplicity.

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 tool is simple (no parameters) and the description covers its function, return value, and failure mode. An output schema is present, so the description does not need to detail return structure further, making the description complete for this context.

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?

With zero parameters, the description does not need to explain parameter semantics. The schema already covers all parameters (none), and the description adds no unnecessary parameter detail, meeting the baseline for a zero-parameter tool.

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: 'Provide diagnostics for Wikipedia API connectivity.' This uses a specific verb (provide) and resource (connectivity diagnostics), and it is clearly distinct from sibling tools that fetch content or search Wikipedia.

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 gives clear context that this tool is for checking API connectivity, which implies when to use it. However, it does not explicitly name alternatives or state when not to use it, though sibling tools are obviously for different purposes.

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