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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so safety and repeatability are covered structurally. The description adds the diagnostic intent ('broken or double-counting tracking') but says nothing about volume, pagination, or how many conversion actions come back.

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?

Two compact sentences with the resource definition front-loaded and the diagnostic payoff second. Every clause carries information; the trailing benefit sentence is the only slightly loose element.

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 3-param read-only tool with no output schema, the description adequately says what fields the response contains. It omits the required-property expectation and any date-window behavior, leaving an agent to infer call correctness from the schema alone.

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 only 33% — only 'property' is documented, and startDate/endDate have no description at all. The phrase 'in the period' hints that a date window exists but gives no format, default, or guidance on whether the range is required, so the description does not compensate for the schema gap.

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 specific resource (configured conversion actions) and enumerates the fields surfaced (status, category, counting type, attribution model, period conversions), which is more than a tautology. It does not, however, distinguish itself from diagnostic siblings like ads_account_audit or ads_quality_score_audit, despite overlapping framing ('catches broken tracking').

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?

'Catches broken or double-counting tracking' implies a debugging/tracking-validation use case, which is real guidance. But it never states when to prefer this over ads_account_audit or ads_query, nor any prerequisites or exclusions.

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