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

With no annotations provided, the description carries the full disclosure burden and it does so exceptionally well. It discloses the exact scope of analysis, that every gap names the owning Business Health check, and crucially the negative-behavior guarantee that there is no fit score or probability and 'asking for one will not produce one' — a strong expectation-management statement that addresses hallucination risk.

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 sentences with zero waste, and the primary purpose is front-loaded in the first sentence. The second sentence adds the health-check mapping (valuable context) and the third sets boundaries. Every sentence earns its place and the prose is dense but not bloated.

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 gives a useful structural hint about return content — each gap names the Business Health check that owns it — but does not detail the exact output format or fields. Given the tool's low complexity (2 parameters, 1 required, no nested objects) and the strong input and boundary coverage, this is complete enough for an agent to understand what the tool is for, though output structure remains somewhat underspecified.

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 50%: the limit parameter is already well documented in the schema ('Optional, default 5. How many overlapping notices to assess'), while businessId has no schema description. The description partially compensates by implying businessId identifies the business whose published categories and OEX representation are being assessed, but the connection is implicit rather than a clear per-parameter explanation.

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 states a specific verb and resource: it checks, for each public procurement notice whose categories overlap the business's published categories, what is in order and what is not in the business's OEX representation. It also distinguishes itself from siblings by negative scope, explicitly excluding qualification, eligibility, supplier relationship, competitiveness, and award likelihood, which separates it from tools like assess_procurement_relevance and check_comparability.

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 gives a clear context for use: when you need OEX representation gaps for category-overlapping procurement notices, with each gap mapped to its owning Business Health check. It also gives strong when-not guidance, stating it never establishes qualification, eligibility, competitiveness, or award likelihood, and that fit score or probability are not produced. It does not name specific sibling alternatives, so it stops just short of a 5.

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