suggest_email_subject

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

With no annotations provided, the description must disclose behavioral traits. It mentions that the tool uses MCP sampling when available, which is a key behavior. However, it does not state what happens when sampling is unavailable, nor does it clarify if the tool is read-only or has any side effects. The description is adequate but lacks full transparency.

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 a single, efficient sentence with 14 words. It is front-loaded with the core action and concisely adds the sampling behavior. Every word contributes meaning without redundancy.

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's low complexity (one parameter, output schema exists), the description covers the key aspects: it suggests 1-3 subject lines and mentions sampling. The existence of an output schema reduces the need to describe return values. However, it could be improved by clarifying the expected input format (e.g., full email body).

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 input schema has 0% description coverage, meaning the parameter 'body' is not described. The description says 'for the given body' but does not explain what constitutes a valid body (e.g., email content, plain text, length limits). This is insufficient compensation for the missing param descriptions.

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 clearly states the tool's purpose: to suggest 1–3 concise email subject lines for a given body. The verb 'suggest' and resource 'email subject lines' are specific, and it distinguishes itself from sibling tools like 'send_email' or 'check_inbox' by focusing on subject line generation.

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 description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, conditions, or when not to use it. For example, it doesn't clarify if the tool is intended for drafting new emails or improving existing ones, nor does it compare with other email-related tools.

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