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

With only readOnlyHint/openWorldHint annotations, the description carries real weight here and delivers: no API key required, content is limited to headlines/excerpts, per-call cost of $0.002 USDC via x402 across Base/Solana/Arc, and explicit refund semantics (failed calls are not charged). Cost and payment-rail disclosure is exactly the kind of context annotations cannot convey.

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?

Three compact sentences, each load-bearing: what it returns, what the content granularity is, and what it costs/how payment works. The most decision-critical constraint (paid call) is placed last but is unmistakable.

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?

Output schema exists so return shape needn't be explained, and the description covers source, freshness ('latest'), content depth, auth, and billing. The small remaining gap is that it doesn't clarify whether 'latest' means no historical/date-range search is possible, which matters for an agent deciding between this and a broader news search.

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%, so both parameters are already documented and the baseline is 3. The description adds the noteworthy detail that the keyword filter also covers tags, but that actually diverges slightly from the schema's wording ('title or summary'), which could confuse an agent about match scope rather than clarify it.

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 gives a specific source (TechCrunch), a specific mechanism (public RSS feed), and the retrieval mode (keyword filter over title/summary/tags, headlines and excerpts only). It distinguishes itself from the many sibling search_* news tools by naming the publisher, though it never explicitly contrasts itself with e.g. search_google_news or search_article_extractor.

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?

Usage is only implied: 'latest articles' plus 'headlines and excerpts only' hints that this is a headline-discovery tool, not full-text retrieval (which would suggest search_article_extractor), but the description never states when to prefer this over the dozens of sibling news-search tools or when not to use it.

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