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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds genuine context beyond that: ranking order, the presence of page and page_url as the citation link, and a substantive prompt-injection warning that third-party titles, summaries and advisory action steps are data rather than instructions — a real behavioral trait not expressed in any annotation.

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 sentence, followed by ranking, result fields, then the trust warning in a logical order. The final sentence on threat text is longer than strictly necessary but earns its place given the injection risk.

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?

With no output schema, the description usefully explains the return shape (page, page_url, summaries, headlines, quotes) and ranking, which an agent otherwise could not know. For a three-parameter read-only search with rich annotations, the only real gap is the absence of sibling routing guidance.

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 67%, with descriptions for query and days but not limit. The description mentions 'recent editions by keyword', loosely reinforcing the days/query semantics, but it adds no format, matching behavior (substring vs. semantic) or default values beyond what the schema already states, so the baseline of 3 applies.

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 opens with a specific verb and resource ('Find AI capabilities across recent editions by keyword') and enumerates what counts as a keyword (model, repo, company, technique, topic). It is clear on its own, but it never contrasts itself with siblings like magpie_rising or magpie_threats, so an agent must infer the boundary from names alone.

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 implied by the keyword framing and the 'recent editions' scope, and it hints at result ordering ('Newest and strongest first'). There is no explicit when-to-use/when-not guidance and no named alternative among the nine siblings, leaving the choice of search vs. rising/threats/editions to inference.

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