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

Annotations already declare this is a mutation (readOnlyHint=false, destructiveHint=false). The description adds useful workflow context (persist verbatim text, then create a fix task) but says nothing about duplicate handling, notification side effects, permissions, or required scope.

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 front-loaded sentences with concrete examples, plus a reference URL; the what-to-do instruction comes before the API link. No wasted prose, though the example list is slightly long.

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 an 11-parameter, 1-required mutation tool with no output schema and no annotation-rich detail, the description conveys purpose and the detail-persistence rationale well but leaves the bulk of parameter behavior and post-call behavior to the schema.

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 64%, so several parameters (severity, source, url, discovered_on, client/client_id/project/project_id) rely on the schema alone. The description adds real meaning only for `detail` (paste exact wording verbatim so it survives) and alludes to task_id via the fix-task flow.

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+resource (record an issue on a project) and sharpens it with the distinguishing trait of ephemeral external-system issues (Google Ads policy warning, GA4 tagging error, broken feed), which separates it from siblings like log_project_event and log_project_decision.

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?

Gives a clear condition for use ('especially one that lives in an external system and will disappear once dismissed') and a follow-up workflow ('then create a task to fix it'), but names no explicit alternative tool or when-not-to-use case.

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