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

Annotations declare a non-read-only, non-idempotent, non-destructive write, and the description adds the meaningful context those annotations cannot express: user consent is required and the payload is sent to the team with hard privacy constraints. It does not say whether submissions are editable/retractable or whether any follow-up occurs, so it falls just short of full disclosure.

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 tight sentences, purpose first, then the consent gate, then the content policy. Minor redundancy: the no-personal-details rule is stated in both the description and the message field's schema description, and 'never the person' is restated twice.

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?

Covers when to call, what to put in the payload, and the privacy boundary; an output schema exists so return values need no explanation. Only the post-send consequence for the user (confirmation, whether it can be undone) is left unstated.

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 the baseline is 3; the description still adds value by governing what belongs in 'message' (describe the product, never the person, no names/contact/addresses/family/budget). That privacy rule meaningfully constrains how to fill the largest parameter.

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?

States a specific verb and resource ('Send feedback about Close Knit to the team') and enumerates the accepted kinds of feedback. It is unmistakably distinct from every sibling tool, all of which are read-only search/metric tools.

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?

Gives an explicit precondition for invocation: 'Call it only after the user agrees: show them the message first.' This is a concrete when-to-use rule with an ordering constraint, not a vague hint.

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