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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the commercial/transport model ('$0.005 USDC per call, paid with x402 on Base'), which an agent cannot get from structured fields, but says nothing about what the response contains (findings shape, severity, line references) or any failure behavior for oversized input.

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?

Front-loaded with the action and resource, followed by a compact enumeration of checks and the price sentence. The check list is long but each entry defines scope, so it earns its place; only minor tightening is possible.

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 and no annotations, the description should say more about the result an agent will receive (e.g. list of findings with rule names/locations). Purpose, input, and pricing are complete, but the return contract is left entirely implicit for a paid call.

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?

A single parameter 'content' is already documented at 100% schema coverage including the 100 KB cap, so the schema does the work. The description adds no further semantics about the parameter, meaning baseline 3 applies rather than a higher score.

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?

States a specific verb and resource ('Lint a GitHub Actions workflow') and then enumerates the exact defect classes it detects, so an agent knows precisely what the tool does and how it differs from ciaudit_compose and ciaudit_dockerfile, which target other artifact types.

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 implied: the tool lints a single workflow file and there is no note on when to prefer it over sibling audits or when it is inappropriate (e.g. non-GitHub CI configs). It also never states that it only analyzes and never modifies, which an agent must infer from 'Lint'.

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