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cueapi-mcp

cueapi-mcp

Official
by cueapi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

cueapi_pause_cue

Pause a scheduled cue to temporarily prevent it from firing until resumed. Use this tool to control when automated tasks execute.

Instructions

Pause a cue. Paused cues do not fire until resumed.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "cue_id": "<cue_id>"
    },
    "name": "cueapi_pause_cue"
  }
}

Input Schema

NameRequiredDescriptionDefault
cue_idYesCueAPI cue ID (e.g. 'cue_...')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses that paused cues do not fire until resumed, which is a key behavioral trait. However, it lacks details on permissions needed, error conditions, or whether the action is reversible, leaving gaps for a mutation tool.

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 sentences, front-loaded with the core action and followed by a clarifying outcome. Every word earns its place, with no redundancy or unnecessary details, making it highly efficient and well-structured.

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?

Given the tool's complexity (simple mutation with one parameter) and lack of annotations or output schema, the description is minimally adequate. It explains what the tool does but does not cover return values or error handling, leaving some context gaps that could hinder agent usage.

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%, so the schema already documents the 'cue_id' parameter fully. The description does not add any meaning beyond what the schema provides, such as format examples or constraints, but this is acceptable given the high schema coverage, resulting in a baseline score.

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 clearly states the specific action ('Pause a cue') and the resource ('cue'), distinguishing it from siblings like 'resume_cue' by specifying that paused cues do not fire until resumed. It uses a precise verb and defines the outcome, making the purpose unambiguous.

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 usage when a cue needs to be paused, but does not explicitly state when to use this tool versus alternatives like 'resume_cue' or 'delete_cue'. It provides some context by mentioning the effect of pausing, but lacks explicit guidance on prerequisites or exclusions.

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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