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

Annotations already declare readOnly/idempotent/non-destructive/openWorld=false, so the bar is lower, and the description still adds meaningful behavioral caveats: scores remain null, matched source text does not verify capability, documentation is unreviewed, vendor integrations are untested, and only the retained current observation is queryable. Those caveats go well beyond the structured safety hints, though some phrasing ('Complete declarations appear once in interfaces') is too cryptic to convey a concrete behavior.

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 core purpose and scope are correctly front-loaded in the first sentence, which is good structure. The remaining four sentences are dense, jargon-heavy, and partly opaque ('matched/guide entries are explicit local references'), so the text is compact but several sentences do not clearly earn their cost.

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?

Annotations cover the safety profile and there is no output schema to explain, but this is a 27-parameter search tool with no required parameters and only 33% schema documentation. The description addresses dataset scope and verification caveats yet omits pagination mechanics (cursor vs offset interplay), filtering interaction rules, and result shape, leaving real gaps for a tool of this complexity.

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?

With 27 parameters and only 33% schema description coverage, the description is expected to compensate, but it explains almost no parameter meaning. It never addresses q, sort, limit, cursor, fields, offset, apiStyle, category, protocol, provenance, etc., and its remarks on interfaces/matched entries do not map clearly onto any parameter. The task-vs-businessTask distinction it gestures at is already documented in the schema itself.

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 verb and resource: 'Literal search and whole-item pagination over the fixed selected display-untested Registry set.' The 'display-untested' scope pins the dataset precisely. It never names the sibling it must be distinguished from (e.g. search_software), so an agent has to infer the candidate-vs-main lane difference from the name 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?

It states clear exclusions ('Held, rejected, deprecated and deleted records are outside this selection') and a restriction ('historical batch queries are not accepted'), which is useful negative guidance. However, it provides no positive when-to-use condition and never routes the agent to an alternative tool, so the alternative-selection problem is left to inference.

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