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Approve or reject an article

decide_article

Approve or reject an article that is waiting for approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
siteIdYes
assetIdYes
decisionYes
projectIdYes

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, and openWorldHint=false, so the agent knows this is a bounded mutation. The description contributes the behavioral precondition that the article must be awaiting approval, but says nothing about permissions required, whether a reason is expected for rejection, or what the decision changes downstream.

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 short sentence with the action front-loaded and no filler. It is efficient, though its brevity reflects under-specification rather than disciplined editing.

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 five-parameter mutation tool with no output schema and zero schema descriptions, the description leaves too much unsaid: it does not explain the required identifiers, the effect of each decision value, or whether reason is mandatory for rejections. Only the state precondition is conveyed.

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 five parameters, so the description carries the full documentation burden and does not meet it. 'Approve or reject' loosely maps to the decision enum, but projectId, siteId, assetId, and reason receive no explanation of format, source, or when reason is 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?

The description gives a specific verb pair (approve/reject) and resource (article), plus a state qualifier ('waiting for approval') that separates it from submit_article_for_review and publish_article. It does not name the closely-named siblings decide_content_brief, decide_content_plan, or decide_article_improvement, so an agent must infer the distinction from the resource noun alone.

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 explicit when-to-use guidance, no named alternative, and no statement of what to do if the article is not in the pending state. The 'waiting for approval' clause weakly implies the precondition but the description never instructs the agent on routing between this tool and the other decide_* or publish_article tools.

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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