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bitpull_stop_group

Stops a running model group on your connected computers and frees its memory. Use it to end a model instance by ID and reclaim resources on the community network.

Instructions

Stop the model running on the person's computers and free its memory.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "bitpull_stop_group"
  }
}

Input Schema

NameRequiredDescriptionDefault
idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

The destructiveHint=false annotation already signals this is not a data-destroying operation. The description adds real context beyond that: the target is a model running on someone else's machines, and the effect includes freeing memory, implying a distributed/remote runtime. It still omits whether stopping is reversible, whether the model can be restarted, and what state remains afterward.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

One short, front-loaded sentence with no filler; the action and its effect are stated immediately. The phrasing 'the person's computers' is slightly indirect but usefully conveys the remote/distributed nature of the target.

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?

For a control tool that halts remote execution, the definition leaves out the key operational facts: what id refers to, behavior when id is omitted, and what the caller gets back (no output schema exists). An agent has enough to know the rough effect but not enough to call it 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% and the single parameter 'id' is never explained — it is unclear whether it identifies a group, a model, or a run. It is also optional (required count 0), and the description does not say what a call without id does (stop all models? error?), which is a meaningful behavioral ambiguity.

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 and resource: stop the model running on the person's computers and free its memory. This is clearly differentiated in effect from bitpull_start_group, though the description never names the group/model concept explicitly, so the link between the tool and the 'group' family is only implied by the tool name.

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?

There is no explicit when-to-use guidance, no prerequisite (e.g. that a group must be running), and no mention of what happens if the model is already stopped or if the id is omitted. Usage is only inferable from the name and the verb 'Stop'.

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