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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds real value: it enumerates the return payload (section source, nearby Markdown, source URL, separate timestamps), discloses the unavailable/stale outcome, and explicitly disclaims that it reproduces an AI platform renderer or verifies unseen images — an honest scope boundary that prevents misuse.

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 tight sentences, front-loaded with the action, then parameters, then return shape, then caveats. Dense but every clause carries information; no filler.

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?

No output schema exists, yet the description describes the return payload and its failure states, and covers the mutation-free safety profile via annotations. For a five-required-param retrieval tool this is close to complete; the main residual gap is the precise meaning of the two hash parameters.

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 0% schema description coverage, the description is the only source of parameter meaning. It names all five parameters and tells the agent their provenance (from audit findings), which is genuinely useful. However, it never distinguishes contentHash from inputHash or explains the locator's markdown:line:column format, so a meaningful chunk of semantics is left undocumented.

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 ('Read DevTune's extracted content for one section finding') and scopes it to a single finding, which distinguishes it from the list-style devtune_get_audit_findings. It doesn't explicitly name that sibling, but the singular 'one section finding' frames the relationship clearly.

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?

'Supply the domain, page path, contentHash, inputHash and locator from audit findings' effectively routes the agent through get_audit_findings first, giving clear usage context. It stops short of explicit exclusions or naming alternatives, but the dependency-driven framing is strong.

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