Skip to main content
Glama
shiiman

multi-agent-mcp

by shiiman

register_agent_to_ipc

Registers an agent with the IPC system to enable inter-process communication and coordination among AI agents.

Instructions

エージェントをIPCシステムに登録する。

Args: agent_id: エージェントID caller_agent_id: 呼び出し元エージェントID(必須)

Returns: 登録結果(success, agent_id, message)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYes
caller_agent_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It mentions it returns a result with success, agent_id, message, but does not detail side effects, permissions, or error conditions, leaving significant gaps.

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?

The description is concise and uses a clear docstring format with Args and Returns sections. However, it could be slightly more compact and avoid the inconsistency.

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?

Given the tool has 2 parameters and no schema descriptions, the description provides basic information but omits important context about state dependencies, duplicates, or system readiness. The internal inconsistency further reduces completeness.

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?

The input schema has 0% description coverage, so the description must compensate. It names the parameters and gives Japanese translations, but there is an inconsistency: the description marks caller_agent_id as required while the schema allows null with a default. This contradiction undermines clarity.

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 clearly states the tool registers an agent to the IPC system. However, among many sibling tools like create_agent, initialize_agent, it lacks differentiation from those operations, reducing clarity slightly.

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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor does it mention prerequisites or conditions for use.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/shiiman/multi-agent-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server