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

Annotations declare openWorldHint=true and readOnlyHint=false, and the description adds genuinely useful context: the message is routed to the ClauseAI operator (confirming the external destination) and must not contain document text or personal details. It does not discuss delivery, acknowledgement, or whether the email field triggers a reply pipeline, but it exceeds what the annotations alone convey.

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?

Two sentences, with the triggering conditions front-loaded before the destination and privacy rule. The trigger list is somewhat long but each item is a distinct actionable case, so nothing is wasteful. Slightly dense but well-ordered.

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 an output schema present, return values need no explanation, and the description covers triggers, destination, and the key content restriction. What remains thin is anything about handling of the email reply path or timing, but for a four-parameter write-to-operator tool this is essentially complete.

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%, so slug, email, message, and category are already documented in the schema (including 'Only pass one the user gave you' for email and the 4000-char limit for message). The description adds a privacy constraint but no per-parameter meaning beyond that, matching the baseline of 3 when the schema does the heavy lifting.

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 makes clear this sends a feedback message to the ClauseAI operator, and it enumerates the triggering situations (missing template field, no matching template, wrong tool result). The verb is framed as 'use this when' rather than a crisp 'sends feedback', but the resource and destination are unambiguous, so an agent can distinguish it from document-generation siblings.

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?

It gives four explicit when-to-use triggers plus an explicit constraint ('Do not include document text or personal details'). No alternative tool competes for this action, so the absence of a named alternative is not a gap; the conditions that select this tool are fully enumerated.

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