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

No annotations are provided, so the description carries the full burden. It usefully discloses the cost (1 credit per call) and enumerates the policy checks performed, but says nothing about the result shape, whether it is read-only, or what happens when limits are exceeded.

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 front-loaded sentence covering platforms, checks, and cost with almost no waste. The stray 'body text' mention is minor noise but does not bloat the description.

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?

For a check tool with no annotations and no output schema, the description should say what the result looks like (pass/fail, flagged issues per field) and clarify whether all three text types are inputs. What it provides is adequate but leaves the agent guessing about output.

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 0%, so the description must compensate. It does name the supported platforms (mapping to the enum) and identifies headlines and descriptions as the checked fields, but it omits per-field character limits, the maxItems caps, and even references 'body text' which is not an actual parameter.

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 (check) and resource (headlines, descriptions, body text) plus the full scope: character limits across six named platforms and policy problems. An agent can tell this apart from siblings like ad_metrics or keyword_formatter without opening the schema.

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 (validate ad copy before publishing) and the credit cost gives a budgeting cue, but there is no explicit when-to-use, when-not-to-use, or named alternative. Nothing routes the agent away from this tool when it is the wrong choice.

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