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Approve or reject an article brief

decide_content_brief

Approve or reject one article brief in a content plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planIdYes
reasonNo
siteIdYes
briefIdYes
decisionYes
projectIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare a non-read-only, non-destructive mutation, and the description adds nothing beyond that: it does not say whether a decision is reversible, whether approval triggers downstream generation, whether a rejection reason is required, or what side effects follow. For a state-changing tool, the description leaves the important behavioral consequences undisclosed.

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 front-loaded sentence with no filler, which is structurally clean. It is efficient, though arguably too terse for a six-parameter mutation.

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 six-parameter write tool with 0% parameter documentation, no output schema, and only terse annotations, one sentence is not sufficient. An agent gets no information about identifier semantics, the reason field, or the consequences of each decision.

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 six parameters (five required), so the description carries the full burden and fails it. 'Approve or reject' loosely implies the decision enum, but projectId, siteId, planId, briefId, and the optional reason are never explained, including the fact that reason exists at all.

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 pair (approve or reject) and a specific resource (one article brief in a content plan), which is enough to distinguish it from decide_content_plan and decide_article. It lacks explicit sibling differentiation, but the narrow scope is clear from the wording.

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 guidance on when to use this tool versus decide_article, decide_article_improvement, or decide_content_plan, all of which sit in the same sibling cluster. The phrase 'in a content plan' implies context but leaves prerequisites and alternatives to inference.

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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