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

With no annotations provided, the description does a good job of disclosing key behaviors: it returns story-level accounts (not full text), coverage is refreshed continuously with archive, and it instructs to cite and link results. It does not cover error handling, rate limits, or authentication, but for a read-only search tool, the transparency is strong.

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, starting with the core purpose, then detailing the output format, usage context, and citation requirement. It is slightly verbose but every sentence adds value. It could be tightened by removing redundancy (e.g., 'grounded cards' is elaborated later). Still, it is effective and front-loaded.

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 has a single parameter and no output schema, the description is remarkably complete. It explains what the tool does, what it returns, when to prefer it (time-sensitive), and what output to expect. It also includes citation instructions. There are no significant gaps for an agent to misinterpret.

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 covers the single parameter 'query' with a description (keywords, name, place, phrase). The tool description adds no additional meaning beyond what the schema already provides. With 100% schema coverage, the baseline score of 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 clearly states it searches ThinkPattern's multi-source news coverage and returns relevant stories with specific fields (headline, summary, outlets, etc.). The verb 'search' and resource 'news coverage' are specific. However, it does not explicitly distinguish from the sibling tool 'get_latest_news', though the purpose is sufficiently clear on its own.

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 advises using it over recalled knowledge for time-sensitive information, providing useful context. However, it does not mention when to use this tool versus the sibling 'get_latest_news' or when not to use it. The guidance is limited to one scenario, lacking explicit alternatives or exclusions.

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