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feedback-create

Send feedback

Sends a feature request, bug report or other feedback to the Moderation API team. The team reads every request and can reply by email. Limited to 5 requests per minute per organization.

Input Schema

NameRequiredDescriptionDefault
requestYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare this is a non-readonly, non-destructive, non-idempotent write; the description adds genuinely new behavioral context: the request is human-read by the team, can be answered by email, and is throttled at 5 requests per minute per organization. It does not explain what happens when the rate limit is exceeded or what identifier/response the call yields, but the rate-limit and follow-up-reply details are real value beyond the annotation set.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the primary action, followed immediately by the recipient and rate limit. Nothing is redundant and the operational constraint (5/min per org) is easy to locate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter but deeply nested object with no output schema, the description covers purpose, audience, follow-up behavior and rate limits well, which is sufficient for an agent to decide to use it. It falls short on the request payload shape: an agent must open the nested schema itself to learn that `body.title` and `body.description` are required, and there is no note about what the call returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter `request` is a nested object with zero top-level schema description coverage; the description never mentions the request envelope, the mandatory `title`/`description` body, the `type` enum, or the `projectId` field. One could argue the nested properties carry their own descriptions, but the description itself contributes nothing to help an agent assemble a valid request, and it does not explain that projectId is optional or which fields are required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (send) and resource (feedback) and names the concrete payload types: feature request, bug report, or other feedback directed at the Moderation API team. The purpose is unambiguous and no sibling tool in the list covers feedback submission, so it is clearly distinct even without an explicit sibling callout.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the phrasing 'Sends a feature request, bug report or other feedback' – an agent can infer this is the tool for reporting issues or requesting features rather than a data-operation tool. However, there is no explicit when-to-use/when-not-to-use guidance and no named alternative (e.g., what an agent should do instead if it merely wants to file a support ticket vs. a bug).

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

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