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Approve Request

approve_request

Grant required approvals for content in LightCMS. Once all required approvals are collected, the content is automatically published.

Instructions

Approve an approval request. When all required approvals are collected the content is automatically published.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesrequired,Approval request ID
commentNoOptional approval comment

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv7.3.4

TDQS

A3.5/5.0
Behavior4/5

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

The annotations only declare destructiveHint=false, so the description carries most of the burden and does disclose the consequential side effect: content is automatically published once all required approvals are collected. That is exactly the kind of cascading effect an agent needs before calling a mutation. It still omits whether approval is reversible and what permissions are required.

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?

Two short sentences, front-loaded with the action, with no redundant restatement of the title or resource name.

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

Completeness3/5

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

For a small two-parameter mutation with no output schema, the description covers the action and its main consequence, which is minimally sufficient. It leaves out authorization requirements, whether the approval can be withdrawn later, and what the response contains, which matters for an agent operating in an approval workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both parameters (id, comment) are documented in the schema, so the baseline of 3 applies. The description adds no meaning about the id format or what the comment is used for beyond the schema.

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 and resource (approve an approval request) that is unambiguous against the nearest siblings reject_request and cancel_approval_request, and the second sentence adds the outcome. It stops short of naming the analogous sibling operations, so an agent still infers the routing from the verb 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 guidance on when to approve versus reject or cancel, and no prerequisites such as the caller needing to be a designated approver or the request needing to be in a pending state. The agent must infer all preconditions from the workflow 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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