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Approval Gate MCP

list_pending

Lists all approval requests currently awaiting a human decision in Approval Gate MCP, so AI agents can see which outbound or destructive actions are blocked for review.

Instructions

List all approval requests currently awaiting a human decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden. 'List' implies a read-only operation and it discloses the pending filter, but says nothing about ordering, pagination, volume limits, or auth requirements.

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?

A single sentence with zero waste; the object of the listing and the pending scope are front-loaded and immediately actionable.

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 simple parameterless list tool this covers the essential purpose, but with no annotations and no output schema the description omits any hint about what a returned record looks like or how many results to expect.

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?

The tool takes zero parameters, so the baseline is 4. There are no parameters whose semantics could be misread, and the description's scoping phrase fully defines the implicit filter.

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 (List) and resource (approval requests) with a scoping qualifier (currently awaiting a human decision). It is clear what it returns, though it does not explicitly name how it differs from siblings like check_approval or wait_for_approval.

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 'currently awaiting a human decision' implies the usage context, but there is no explicit when-to-use/when-not guidance or reference to the alternative siblings such as check_approval or decide_approval.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.