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Submit Product Feedback

report-feedback
Destructive

Use this when the user explicitly asks to submit DocuWriter.ai or MCP feedback. After authorization, this state-changing action records feedback for review; submission failures may send a feedback preview and account context to the external error-monitoring service. Do not include secrets or source code in feedback.

Input Schema

NameRequiredDescriptionDefault
feedbackYesThe user feedback text (minimum 10 characters)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare a state-changing, open-world, destructive action; the description goes further by adding the authorization prerequisite and a concrete failure-path disclosure (feedback preview plus account context sent to an external error-monitoring service) plus a content restriction on secrets/source code. That is real behavioral context beyond the structured fields, not a restatement of them.

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?

Three sentences, front-loaded with the trigger condition, then effect, then a safety constraint. No filler and each sentence carries distinct information (when to call, what happens, what side effects occur).

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

Completeness5/5

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

For a single-parameter, no-output-schema tool this is complete: trigger, auth requirement, mutation semantics, external data transmission on failure, and content restrictions are all covered. An agent has everything needed to decide whether and how to invoke it.

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

Parameters4/5

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

With one parameter at 100% schema coverage, the baseline is 3. The description adds meaning the schema does not carry: what must not be placed in the feedback field (secrets, source code), which materially shapes how the agent should populate it.

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

Purpose5/5

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

States a specific verb and resource (records/submits feedback for review) and pins the trigger precisely: the user explicitly asking for DocuWriter.ai or MCP feedback. No sibling tool in the list is competing for this action, so differentiation is unambiguous.

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

Usage Guidelines4/5

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

"Use this when the user explicitly asks" gives a clear, restrictive invocation condition that doubles as an implicit when-not (don't submit unsolicited). No alternative tool is named, but none exists in the sibling set, so nothing is left ambiguous for practical purposes.

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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