X (Twitter) Profile API

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 mentions 'public' as an access limitation but does not disclose rate limits, authentication needs, whether it scrapes live data, or behavior for non-existent/private profiles. This is a significant gap for a web scraping tool.

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, scannable sentence that front-loads the primary action and resource. The parenthetical with examples adds useful detail without verbosity. Every word earns its place, 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?

For a simple one-parameter tool with no output schema and no annotations, the description covers the essential purpose and scope. It could be enhanced by mentioning what counts are included or any error behaviors, but the given information is adequate for basic usage. The lack of output schema is partially compensated by the examples of returned metadata.

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% - the profileId parameter is well described with examples ('elonmusk', 'nasa'). The tool description itself adds no additional parameter semantics beyond what the schema already provides, so baseline 3 is appropriate.

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 uses a specific verb 'scrape' and clear resource 'public X (Twitter) profile's metadata' with examples (bio, followers, counts). It distinctively identifies the tool's purpose, differentiating it from generic web scraping or other profile tools like linkedin_profile.

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 whenever X profile metadata is needed but does not explicitly state when to choose this tool over alternatives or provide exclusions. No mention of alternatives like web_scrape or search tools, leaving the contextual decision to the agent without explicit guidance.

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