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Local MCP

Local MCP

by colibird-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Local

agent_mesh_create

Create a new agent mesh network with your Mac as the first member, enabling AI agents to connect and collaborate locally.

Instructions

Starts a new agent mesh with THIS machine as its first member.

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": "agent_mesh_create"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.0.371

TDQS

A4/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does reveal that the current machine becomes the first member, but omits any consequences, side effects, prerequisites, idempotency, or failure behavior. This is minimal disclosure for a state-creating operation.

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?

A single, front-loaded sentence with zero filler. Clearly states the action, the resource, and the key distinctive detail about the current machine, making every word count.

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

Completeness4/5

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

For a zero-parameter, no-output-schema tool, the description covers the essential purpose and the unique 'first member' aspect. However, it doesn't mention follow-up actions like inviting other members, which would be helpful given the sibling mesh tools, but the simplicity of the tool keeps the gap modest.

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

Parameters4/5

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

The tool has zero parameters, and the schema is empty, so the baseline for parameter semantics is 4 per rubric. The description adds no parameter meaning because there are none, but it correctly implies no inputs are needed for the operation.

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?

Description uses a specific verb ('Starts') and clearly identifies the resource ('agent mesh') while adding the unique scope 'with THIS machine as its first member.' This distinguishes it clearly from sibling mesh tools like join/invite/revoke by indicating it is the genesis operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'new agent mesh' and 'first member' implicitly convey that this is for creating a fresh mesh rather than joining an existing one. However, it does not explicitly state alternatives or exclusions, such as 'use agent_mesh_join if you already have an invitation.' The guidance is clear context but lacks direct comparison.

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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