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

Annotations already establish that this is read-only, idempotent, and closed-world, so the description does not need to repeat safety traits. It does add substantive behavioral detail by naming the cross-checks performed: merge tags vs. columns, sequencer parsing, role/disposable addresses, duplicates, per-company limits, and a send forecast.

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?

The description is front-loaded with purpose and then lists the audit checks efficiently. It is dense but mostly earns its length; the final sentence slightly restates required inputs already covered by the schema and the first 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 seven-parameter audit tool with full schema coverage and read-only annotations, the description gives enough context to understand the checks and inputs. It does not describe the return format or how findings are presented, which is a gap given there is no output schema, but the core invocation context is present.

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?

With 100% schema description coverage, the schema already documents all seven parameters, defaults, and the daysPerWeek enum. The description reinforces that the CSV text and every sequence step are required, but adds little parameter meaning beyond what the schema already provides.

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 states a specific verb and resource: 'Audit a cold email campaign before launch', then enumerates the audit dimensions. It is clear what the tool does, but it does not explicitly differentiate itself from nearby siblings such as analyze_cold_email, clean_csv, or verify_email.

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 phrase 'before launch' implies the appropriate moment to use it, and the closing sentence tells the caller to pass the CSV and sequence. However, there is no explicit guidance on when not to use it or which sibling tools to use instead for cleaning, verification, or post-launch analysis.

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