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

With no annotations, the description carries the full burden and does well: it discloses the fixed basic search depth, the one-credit-per-call cost, and the pay-per-call USDC/x402 model requiring no API key or subscription. It omits rate limits, failure behavior, and any latency or quota caveats.

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?

Purpose is front-loaded in the first clause and the pricing/auth constraints follow in a logical order. The 'built for research agents, fact-checking and RAG pipelines inside agent workflows' clause is somewhat padded and restates the earlier agent framing.

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?

There is no output schema or annotations, and the description usefully covers return fields, auth and cost, which partially compensates. But the two input parameters remain undocumented, leaving a real gap for a tool the agent must call with correct arguments.

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 0% for two parameters, so the description must compensate and does not: 'query' is only obliquely implied by 'send a natural-language query' and 'num_results' is never mentioned. Nothing tells the agent the accepted range or defaults for the result count parameter.

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?

States a specific verb+resource (live web search powered by Tavily) and enumerates the return shape (titles, URLs, content snippets, relevance scores), so the agent knows exactly what it gets. It does not, however, distinguish itself from close siblings like search-brave or web-search, which an agent must choose between.

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?

It names intended use cases (research agents, fact-checking, RAG pipelines) which implies when the tool fits, but never says when to prefer it over search-brave or web-search, nor when it is the wrong choice. Usage is implied rather than guided.

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