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

The description adds substantial context the annotations cannot convey: an exact price ($0.05 USDC on Solana), transient processing with no storage, and the fact that a paid retry re-sends the sample — which explains why idempotentHint=false matters financially. It also scopes the claim ('does not certify that an agent is safe'), preventing over-reading of the verdict. Nothing here conflicts with readOnlyHint=false or destructiveHint=false.

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 dense sentences, front-loaded with the price and the deliverable, then data-handling and retry mechanics, then the safety caveat. No filler, and each sentence carries information an agent would otherwise have to guess.

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 correctly takes on the burden of describing the return (verdict, score, per-record-type status, fix list), and it covers cost and data retention. It is not fully complete: failure/refund behavior, how payment is authorized, and the relationship to the free precheck path are unaddressed.

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 100% and every parameter is optional, so the schema already does the heavy lifting. The description adds one meaningful constraint — one payment buys a report for one submitted deployment sample — but never clarifies that trace, trace_text, config and framework are alternative or complementary inputs, so it adds only marginal meaning beyond the schema.

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 names a concrete resource (a full observability readiness report for one submitted deployment sample) and enumerates the deliverable contents: verdict line and score, per-record-type status with evidence, and a fix list. That is far more specific than a tautology. It stops short of a 5 because it never names its closest siblings (observability_precheck, observability_criteria), so the agent must infer the difference between the paid report and the free precheck.

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: the price and the statement that the retry re-sends the sample suggest this is the full paid path rather than a cheap first pass, and 'It does not certify that an agent is safe' is a useful exclusion. But there is no explicit instruction such as running observability_precheck first or consulting observability_criteria, and no guidance on when a paid report is warranted over the free check.

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