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LogicMem MCP Server

LogicMem MCP Server

by CreedLab
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

logicmem_a2a_register

Registers an AI agent in the A2A registry to enable agent-to-agent sharing and discovery within the LogicMem network.

Instructions

Register this agent in the A2A registry.

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": {
      "agent_id": "<agent_id>",
      "client_id": "<client_id>"
    },
    "name": "logicmem_a2a_register"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNo
agent_idYes
client_idYes
agent_typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description must carry the burden of disclosing side effects and behavioral traits. It merely says 'Register', but does not mention whether registration is idempotent, requires authentication, overwrites existing entries, or what occurs upon successful registration.

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 concise sentence with no wasted words, which is structurally good. However, it is so brief that it under-specifies the tool, making it minimally viable rather than truly helpful.

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 registration tool with no annotations, no output schema, and four parameters, the description is incomplete. It fails to explain the registration workflow, valid values, or what actions are expected, leaving significant gaps for an agent trying to use the tool correctly.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no explanation of the parameters (name, agent_id, client_id, agent_type). The description does not compensate for the low coverage, leaving parameter semantics entirely to the schema's property names.

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 action ('Register') and the target ('this agent in the A2A registry'), making the tool's purpose immediately understandable. It distinguishes from siblings like heartbeat, list_agents, and sync, though it does not explicitly differentiate.

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 is provided on when to use this tool versus alternatives. It does not specify prerequisites, context, or when registration is needed, leaving the agent to infer usage from the name and description.

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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