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kwgoodwin

Clearon Editorial Pipeline MCP

by kwgoodwin

approve_revision

Approve a revision only after explicit editorial, factual, and quotation review confirmations are recorded, using the SHA-256 fingerprint to validate the exact version.

Instructions

Approve the current revision only after explicit editorial, factual, and quotation review confirmations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
slugYes
revisionYes
approved_byNo
revision_sha256Yes
factual_review_completedYes
editorial_review_completedYes
quotation_review_completedYes
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It states the approval action but does not disclose whether approving publishes or finalizes the revision, whether it is reversible, what permissions are required, or what the expected result is. This is a significant transparency gap for a state-changing operation.

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?

The description is a single front-loaded sentence with no unnecessary wording. It is concise and the key action is stated immediately, though the terseness sacrifices some behavioral detail that would improve the definition.

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?

For a tool with eight parameters, no annotations, and no output schema, this description is incomplete. It omits the consequences of approval, its relationship to apply_revision, required permissions, and what the agent should expect after a successful call.

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%, and the description only adds meaning to the three review-confirmation booleans by framing them as prerequisites. It does not explain the semantics of revision_sha256, slug, revision, approved_by, or note, leaving the agent to infer their roles from names alone.

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?

The description clearly identifies the verb 'Approve' and the resource 'current revision', and it adds a specific precondition about review confirmations. It is distinguishable from siblings like propose_revision and apply_revision, though it does not explicitly reference those alternatives.

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?

The phrase 'only after explicit editorial, factual, and quotation review confirmations' provides a clear precondition for when approval is appropriate. However, it does not explicitly state when not to use this tool or mention alternatives such as apply_revision, audit_revision, or propose_revision.

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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