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machine_stop

Destructive

Read stop_warning/resume_warning before continuing work. A cold recovery can preserve disk without unsaved memory. Stop ends running charges; optional stopped storage/backups retain their rates.

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": {
      "id": "<id>"
    },
    "name": "machine_stop"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Beyond the annotations (destructiveHint=true, idempotentHint=false), the description adds substantive consequences: running charges end, stopped storage/backup rates persist, and a cold recovery may keep disk contents but lose unsaved memory. That is meaningful cost and data-loss context an agent would not otherwise have. It still omits whether the stop is graceful versus forced and whether the machine can be resumed.

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?

It is short with no filler sentences, but it is front-loaded with a prerequisite rather than the action, and it names opaque tokens (stop_warning/resume_warning) without saying they are tools or how to reach them. The density costs clarity.

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 destructive one-parameter tool with no output schema, the description covers costs and memory risk reasonably, but it leaves out the outcome of a successful call, resumability, and its relationship to machine_request_stop. An agent would need to consult other tools before acting confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning, but it never mentions the single required 'id' argument. The parameter is guessable from the tool name, but nothing in the description confirms what identifier is expected or where the warnings for a given id would be read.

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?

The description implies the operation with 'Stop ends running charges,' making clear this halts a running machine and billing. It never states the verb+resource directly ('stops the machine') and does not distinguish itself from the sibling machine_request_stop, which is the main ambiguity an agent faces.

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?

It gives one prerequisite ('Read stop_warning/resume_warning before continuing work'), which is genuine guidance for invoking it safely. However, it never says when to use this versus machine_request_stop, nor any when-not condition, leaving the primary selection decision to inference.

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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