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

No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing: not whether the tool mutates or merely returns text, not what the response contains, not whether the 'prompt pack' framing means it emits a template rather than a rewritten followup. The pitch language ('delivered as a copy-paste prompt pack with examples') actively obscures the runtime behavior rather than describing it.

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?

It is short, but the two sentences are sales copy rather than front-loaded function; no sentence tells the agent what the tool does, and phrases like 'production-ready' and 'you can run today' earn nothing. Brevity here comes from omission, not efficiency.

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?

With no annotations, no output schema, and only a vague optional query parameter, the description is the sole source of behavioral information and it supplies none. An agent has no idea what it gets back or when invoking this over followup-write-tool or followup-polish-tool is correct.

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 100% and there is a single optional 'query' parameter documented as 'Optional user query to scope the analysis,' so the schema fully specifies the input. The description adds no meaning beyond it, but under the high-coverage rule this lands at the baseline of 3.

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 text repeats the tool name ('followup rewrite tool') and wraps it in marketing language about a 'production-ready system' and 'copy-paste prompt pack.' It never states the concrete operation (rewriting a follow-up message, email, or script) or what object gets rewritten, and it draws no boundary against the ten sibling followup-* tools (audit, check, gen, polish, reply, sort, summary, tpl, write).

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 scoping signal is the audience ('marketing and operations leaders'); there is no when-to-use condition, no when-not-to-use, and no mention of any alternative sibling such as followup-polish-tool or followup-gen-tool. An agent cannot infer from this text when this tool beats its near-identical siblings.

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