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LogicMem MCP Server

LogicMem MCP Server

by CreedLab
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

logicmem_memory_health

Verify LogicMem memory server health to ensure reliable AI agent memory operations. Detect potential issues early to keep persistent memory, reasoning, and audit trails functioning.

Instructions

Check if the LogicMem memory server is healthy.

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": "logicmem_memory_health"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read-only health check, but does not clarify what 'healthy' means, whether it performs a simple ping or a deeper diagnostic, or what the response format is. This is a minor gap for such a simple tool.

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?

The description is a single, concise sentence that is front-loaded with the purpose. It contains no fluff or redundant information, making it optimally concise.

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?

The tool is simple with no parameters or output schema, but the description does not explain what the agent will receive in response (e.g., a boolean, status object, or error). Without an output schema, this missing return-type information leaves some incompleteness, though the core purpose is clear.

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, so the baseline score is 4 per the rubric. The description does not need to elaborate on parameter semantics since there are none.

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?

The description clearly states the tool's function: 'Check if the LogicMem memory server is healthy.' It uses a specific verb ('check') and resource ('LogicMem memory server') with a well-defined outcome. This distinguishes it from sibling tools like logicmem_memory_stats or logicmem_memory_log, which have different purposes.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention any preconditions, exclusion cases, or relationships to other logicmem tools. For a health check, the intended context is implied but not explicitly stated.

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

Deploy Server

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