twitterapi-io-mcp

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 effectively describes the tool's behavior by specifying that it lists endpoints 'organized by category' and details the return format ('Endpoint names with HTTP method and path for each category'), though it doesn't mention aspects like rate limits or authentication requirements.

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 well-structured with clear sections (purpose, usage guidelines, categories, returns), front-loaded with the main purpose, and every sentence adds essential information without redundancy. It efficiently communicates key details in a compact format.

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 low complexity (1 optional parameter, 100% schema coverage, output schema exists), the description is complete. It covers purpose, usage, categories, and return format, and since an output schema is present, it doesn't need to detail return values further.

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, so the baseline is 3. The description adds value by listing the specific categories available (e.g., 'user, tweet, community'), which complements the schema's enum and clarifies the parameter's purpose beyond the schema's 'Optional filter' description.

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 specific action ('List all TwitterAPI.io API endpoints') and resource ('API endpoints organized by category'), distinguishing it from siblings like 'get_twitterapi_endpoint' (singular) and 'search_twitterapi_docs' (search functionality). It explicitly mentions the organizational structure by category.

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 includes a dedicated 'USE THIS WHEN' section that explicitly states when to use this tool ('You need to browse available endpoints or find endpoints by category'), providing clear context for its application. This distinguishes it from alternatives like 'search_twitterapi_docs' for searching documentation.

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