x_post

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

No annotations provided, so description carries full burden. It discloses cost (5 API credits), how to extract tweetId from URL, and lists all return fields. While it doesn't mention failure modes or rate limits, it provides sufficient behavioral context for a read-only extraction 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?

Description is moderately sized with front-loaded purpose. Each sentence adds value: metrics list, credit cost, input note, return fields. Could be slightly trimmed, but overall efficient 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?

Despite no output schema, description lists all return fields comprehensively. It covers input format, cost, output structure, and includes a usage note. For a single-parameter tool, this is complete and self-contained.

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 coverage is 100% with both schema and description explaining tweetId. Description adds redundant but clarifying example. Baseline 3 is appropriate as schema already does the heavy lifting and description adds marginal value.

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 extracts detailed data for any X (Twitter) post, listing specific engagement metrics, content, and author info. The verb 'extracts' and resource 'X post' are specific and distinct from siblings like x_profile or search tools.

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 explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it or suggest sibling tools. Usage is implied by the clear purpose, but lacking explicit context for decision-making.

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