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

No annotations are supplied, so the description carries the full disclosure burden. It reveals only that the deliverable is a "copy-paste prompt pack with examples," with no information about side effects, permissions, what inputs are required, or what the audit output contains.

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?

Only two sentences, so nothing is bloated, but the space is spent on promotional filler ("you can run today," "production-ready") rather than on the function. The most useful detail, the prompt-pack deliverable, arrives only in the second sentence.

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 tool with no annotations and no output schema, the description should explain what the audit produces and what domain it covers. It instead describes packaging format only, leaving an agent unable to judge suitability or predict the result of a 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?

Schema coverage is 100% and the single optional "query" parameter is documented in the schema as scoping the analysis, so the schema does the heavy lifting. The description adds no further meaning about how a query changes the audit, leaving this at the baseline.

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 largely restates the tool name ("notice audit tool") and pads it with marketing language such as "production-ready" and "for marketing and operations leaders." It never says what a notice is, what the audit examines, or how it differs from the adjacent notice-check-tool and notice-summary-tool siblings.

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?

The only usage signal is an audience label ("marketing and operations leaders"), which does not tell an agent when to pick this tool over notice-check-tool or notice-sort-tool. There are no preconditions, exclusions, or named alternatives.

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