X (Twitter) posts

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

No annotations exist, so the description carries the full disclosure burden. It only lists output fields and does not disclose behavioral traits such as authentication requirements, rate limits, URL constraints, or error handling for invalid posts. This is minimal 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 sentence with no redundancy, placing the key information at the start. It is efficient, but it omits some useful context that could be added without bloat, so it is not maximally informative.

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 simple one-parameter schema and lack of annotations or output schema, the description provides a basic understanding of what the tool returns. However, it is incomplete because it does not mention edge cases, return format specifics, or when this tool is preferred over generic scrapers, which is important given the many sibling tools.

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 already describes the url parameter as 'X/Twitter post URL', and with 100% schema coverage, the tool description adds no additional parameter semantics. It does not clarify URL format constraints or how the URL is used beyond what the schema states.

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 identifies the resource (X/Twitter posts) and the output (structured data with text, likes, retweets, replies), making it distinct from sibling tools for other platforms. However, it lacks an explicit action verb like 'fetches' or 'retrieves', relying on the tool name and inferable meaning.

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?

No guidance is provided on when to use this tool versus alternatives such as smart_scrape or other web_data_* tools. The description does not mention any prerequisites, use cases, or exclusions, leaving the agent without clear direction on selection.

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