AI Collaboration MCP Server

stop_autonomous_loop

Stops the ongoing autonomous AI collaboration loop for a specified agent, ending the continuous execution of development tasks.

Instructions

Stop the autonomous work loop

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": {
      "agentName": "<agentName>"
    },
    "name": "stop_autonomous_loop"
  }
}

Input Schema

Name	Required	Description	Default
`agentName`	Yes	Name of the agent stopping the loop

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Apr 12, 2026

TDQS

C2.5/5.0

Behavior2/5

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

No annotations provided, and the description gives no behavioral details such as whether the stop is immediate or graceful, if it is idempotent, or what side effects occur. Limited transparency 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise but may be too brief for a tool that stops a process. Could be more informative without being verbose.

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

Completeness2/5

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

No output schema provided, and the description does not explain the effect of stopping the loop (e.g., what happens to ongoing tasks, agent state). Lacks completeness for a control action.

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 description does not add significant meaning beyond the parameter name. The parameter 'agentName' is documented simply as 'name of the agent stopping the loop', which is adequate but not enhanced.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('stop') and resource ('autonomous work loop'), but it does not differentiate from the similar sibling tool 'stop_autonomous_work'. The purpose is somewhat ambiguous as there are two stop-related tools.

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?

No guidance on when to use this tool versus alternatives like 'stop_autonomous_work' or 'start_autonomous_loop'. Lacks context for appropriate invocation.

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