aaddyy_job_email_creator

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

With no annotations present, the description carries the full burden, and it does disclose one genuinely useful behavioral trait: the approximate cost (~10 credits). However, it says nothing about how the generated emails are returned (single string vs. list, especially when variations > 1), whether the call is stateless, or any latency/rate-limit characteristics.

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?

Three short sentences, front-loaded with the core purpose and followed by scope and cost. No padding or repetition, though the second sentence is largely redundant with the first.

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 15-parameter tool with no output schema and no annotations, the description is too thin: it never explains the undocumented parameters, the effect of 'variations', or what the response looks like. An agent has enough to attempt a call but not enough to call it confidently.

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 only 53% and roughly half a dozen parameters (language, outputFormat, portfolioUrl, customContext, recipientName, includeSignature, userRole) have empty descriptions. The description adds no parameter-level meaning to compensate for those gaps, leaving an agent guessing at the format and purpose of several inputs.

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 gives a specific verb ("Generate") plus resource ("job-related emails") and enumerates concrete email types, so an agent knows exactly what it produces. It also scopes itself with "Tailored specifically for career and recruitment communication," implicitly distinguishing it from the generic aaddyy_email_writer, though it never names that sibling.

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 list of email types hints at the domain of use, but there is no explicit guidance on when to pick this over aaddyy_email_writer or aaddyy_cover_letter_creator, and no stated prerequisites or exclusions. The agent must infer the routing decision from the tool name alone.

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