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

Annotations already declare readOnlyHint=true and openWorldHint=false, and 'Read-only' merely restates that. The added value is the 'Each carries its limits; never a safety claim' caveat, which usefully tells the agent the findings are bounded observations rather than verdicts — genuine context beyond the structured fields, though it is vague about the nature of those limits.

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?

A single dense sentence plus two short fragments, with the content list front-loaded and no filler. The telegraphic, comma-heavy style is tight but slightly cryptic to parse.

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 parameters, no output schema, and read-only annotations, the description does the necessary work of telling the agent what the return contains (six named finding categories) and how to read it (bounded, not a safety guarantee). It stops short of describing the result shape or how limits are surfaced per finding.

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?

The tool takes zero parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate. No parameter meaning is missing or misleading.

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 resource and enumerates the concrete categories of findings (leaks, cookie flags, dev settings, turned-away traffic, build age, swallowed errors), and the capitalized 'OBSERVED' distinguishes evidence-based findings from speculation like crash_risk. However, it never names a sibling alternative, so the agent must infer the boundary from the list 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?

There is no explicit when-to-use or when-not-to-use guidance and no named alternative among the many siblings. The only guidance-like statement is the caveat 'never a safety claim', which frames interpretation rather than invocation. The agent gets no routing signal.

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