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List content awaiting approval

list_pending_approvals
Read-only

List approval requests: content waiting for an approve/reject decision before it can air. Defaults to pending; pass state to see decided history. Content created or edited over this connection lands as draft when its location requires approval, so check here to see what is waiting. Read-only; to approve or reject one, pass its id to decide_approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (default 50).
stateNoFilter by decision state (default pending). withdrawn = the requester took it back.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / state / description
      Previous value: -"Filter by decision state (default pending)."New value: +"Filter by decision state (default pending). withdrawn = the requester took it back."
  2. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds real behavioral context beyond that: the workflow note that content created or edited over this connection lands as draft when its location requires approval, which explains why items appear here. It does not discuss pagination behavior, keeping it short of a 5.

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?

Three sentences, front-loaded with purpose and scope, then the default, then the sibling handoff. No sentence is redundant and nothing is buried.

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?

For a two-parameter read-only list tool with an output schema present, the description covers purpose, defaults, filter semantics, the underlying workflow that generates pending items, and the handoff to decide_approval. Nothing an agent needs to select and call it correctly is missing.

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?

Schema coverage is 100%, so both parameters are already documented, including the 'withdrawn' enum meaning. The description still adds value by framing the state parameter in workflow terms ('see decided history') and restating the pending default, which clarifies intent beyond the raw enum.

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 opens with a specific verb+resource ('List approval requests') and immediately scopes it to 'content waiting for an approve/reject decision before it can air.' This clearly separates it from the sibling decide_approval, which acts on a single item rather than listing them.

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?

It states the default behavior ('Defaults to pending'), the alternative state filter ('pass state to see decided history'), and the routing rule to the sibling mutation tool ('to approve or reject one, pass its id to decide_approval'). When-to-use and when-to-use-something-else are both explicit.

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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