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CTRLRun

CTRLRun Approval Console

Official

approve

Grants a pending approval request to let the agent run the exact action once. Requires an authenticated human; the decision is recorded under their name.

Instructions

WRITES. Grants one pending approval request, letting the agent run that exact action once. Requires an authenticated human; the answer is recorded under their name and is visible in the receipt the action leaves.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYesThe pending request to grant, as returned by list_pending_approvals. The grant is bound to the hash of the action that request already names, so there is no argument here by which a different action could be approved.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / request_id / description
      Added value: +"The pending request to grant, as returned by list_pending_approvals. The grant is bound to the hash of the action that request already names, so there is no argument here by which a different action could be approved."
  2. First observedv0.12.1

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses that the operation writes, requires an authenticated human, records the answer under the human's name, and leaves a visible receipt. This is strong context, though it does not cover edge cases like duplicate or invalid requests.

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?

The description is two focused sentences with no filler. The key action, one-time nature, and human-authorization requirement are all front-loaded and every sentence earns its place.

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 single-parameter tool with no output schema, the description covers what the tool does, its prerequisite, its audit trail, and where the result is visible. An agent has enough context to invoke it correctly and anticipate the side effects.

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 coverage is 100% and the request_id parameter is already well-described in the schema, including its binding to the pre-approved action. The description adds no parameter-specific meaning, so the baseline score of 3 is appropriate.

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 uses a specific verb and resource: it 'Grants one pending approval request' and explains the consequence (the agent may run that exact action once). This clearly distinguishes it from sibling tools like deny and list_pending_approvals.

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 description implies when to use the tool: when a pending approval request should be granted. It gives a prerequisite (authenticated human) but does not explicitly contrast with deny or other alternatives, so the usage guidance is mostly inferred rather than stated.

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