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ck_review_feedback

Record a governance decision on a submitted review, approving or denying it with feedback notes and annotations to unblock or halt execution.

Instructions

Approve or deny a submitted review and attach feedback notes or structured annotations. Write operation — updates the review record and unblocks or halts the execution gate. review_id (required) is the ID returned by ck_review_submit. decision must be approved or denied. feedback_notes is freeform text for the reviewer's rationale. annotations is a key-value object for machine-readable metadata. This tool is human-facing: agents call ck_review_submit to create a review, then a human (or authorized agent) calls ck_review_feedback to record the decision. After approval, the submitting agent can proceed with execution; after denial, the plan should be revised and resubmitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
annotationsNoStructured key-value annotations for machine-readable metadata.
decisionYesGovernance decision: allow, warn, block, or escalate to human.
feedback_notesNoFreeform feedback notes from the reviewer.
review_idYesUnique identifier of the review to query or act on.
reviewed_byNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
decisionNo
review_idNo
updatedNo
Behavior4/5

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

Discloses write operation and gate blocking/unblocking. Adds context beyond annotations (readOnlyHint=false, destructiveHint=false) by explaining execution gate impact and human-facing nature. Could detail gate mechanism more, but sufficient.

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?

Concise two-sentence structure with front-loaded purpose, followed by parameter explanations and workflow context. No unnecessary words.

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?

Complete for a 5-parameter tool with output schema: explains role in two-step process, parameter usage, consequences, and sibling relationship. No gaps.

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 80% schema coverage, baseline is 3. Description adds value by linking review_id to ck_review_submit, clarifying decision values, and explaining feedback_notes and annotations purposes.

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?

The description clearly states the tool's verb ('Approve or deny') and resource ('submitted review'), and differentiates from sibling 'ck_review_submit' by explaining the workflow relationship.

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

Usage Guidelines5/5

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

Explicit when-to-use: after submission, by human or authorized agent. Explains consequences: approval unblocks execution, denial requires plan revision. Distinguishes from submission tool.

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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