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

With no annotations, the description carries the full behavioral burden, yet it only asserts the tool is 'production-ready' and delivers a 'prompt pack with examples.' It does not state what happens on invocation, what inputs are expected, what output format is returned, or any side effects or limitations.

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 two sentences are short and front-loaded, but they spend words on promotional framing ('production-ready,' 'you can run today') rather than actionable tool semantics. It is concise but not informative.

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?

Given the tool has one optional parameter, no annotations, and no output schema, the description should clarify what the tool returns and how to invoke it effectively. Instead it uses vague product language that leaves key operational details missing.

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?

The single optional 'query' parameter is fully documented in the schema, so the description need not add parameter details. Baseline 3 applies because schema coverage is 100%.

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 restates the tool name as an 'email writer' but describes the output as a 'copy-paste prompt pack,' leaving unclear whether invoking it writes an email or returns a reusable prompt template. It offers no differentiation from the many sibling email tools such as email-write-tool, email-gen-tool, and email-polish-tool.

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?

There is no guidance on when to use this tool instead of the numerous other email-writing siblings, nor any prerequisites, constraints, or exclusions. It reads as marketing copy rather than operational usage instructions.

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