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

With no annotations, the description provides key behavioral details: cost per call, payment via clink's shop credits, a link to obtain a key, and that failed/empty calls are free. This goes beyond a bare description and discloses failure and monetization behavior, though it does not mention rate limits or side effects (likely none).

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 concise and well-structured: purpose is front-loaded, followed by the query compatibility note, then cost/payment details, and a clear failure policy. Each sentence serves a purpose with no filler.

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 no output schema or annotations, the description covers the essential aspects: what the tool returns (summarized sentiment, themes, accounts, posts), query syntax compatibility, cost, payment mechanics, and the free-on-failure policy. It lacks detailed output formatting or rate limits, but is reasonably complete for a single-parameter tool.

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 an example, so the baseline is 3. The description adds 'Same query syntax as x_search,' which is a useful cross-reference that tells an agent the query parameter behaves exactly like the sibling tool. This is a genuine semantic addition, but it doesn't deeply extend the schema's own 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 tool provides a trend digest combining live tweet search with an AI-written summary covering sentiment, key themes, driving accounts, and notable posts. It references 'Same query syntax as x_search,' which distinguishes it from its sibling search tool by focusing on the analytical digest rather than raw results.

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 through 'trend digest' vs. a plain search, and provides a cross-reference to x_search for query syntax. However, it does not explicitly state when to choose this tool over alternatives or when not to use it. The cost and credit information is helpful context but not a substitution for explicit alternative routing.

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