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CliDeck MCP — Network Knowledge

Submit Feedback

submit_feedback

Submit correctness, freshness, safety, or completeness feedback without including private logs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ratingNo
commentNo
task_idNo
categoryYes
access_tokenNo
revision_refNo
sample_contributionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
acceptedYes
feedback_idYes
contribution_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false and openWorldHint=false, so the write-but-not-destructive profile is covered. The description adds a genuine privacy constraint ('without including private logs'), which is useful beyond the annotations, but omits the access_token requirement, the consent requirement for sample_contribution, and any note about duplicate submissions.

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

Conciseness4/5

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

A single tight sentence with the privacy constraint front-loaded alongside the category list. It is efficient, though for a 7-parameter write tool with a nested object it may be too terse to be sufficient.

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

Completeness2/5

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

Given 7 parameters, a nested sample_contribution object, a consent gate, and an access token, the description is far too thin. An output schema exists so return values need not be explained, but the invocation prerequisites are missing.

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?

Schema description coverage is 0% across 7 parameters, and the description only loosely covers the category enum and hints at sanitized payload privacy. rating, comment, task_id, access_token, revision_ref, and the nested consent/snapshot_type fields are left entirely to the schema with no semantic framing.

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 ('Submit') and resource ('feedback') and enumerates the feedback dimensions (correctness, freshness, safety, completeness). No sibling tool covers feedback submission, so differentiation is adequate, though it is not explicitly contrasted with any sibling.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives, no indication of who should submit or in what situations, and no prerequisite guidance. The only constraint given is an implicit 'without private logs' prohibition.

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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