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LogicMem

LogicMem MCP Server

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by LogicMem

logicmem_a2a_list_agents

List all registered AI agents associated with a client ID to discover and manage agent-to-agent interactions.

Instructions

List all registered agents for a client_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states 'List all registered agents,' which implies a read-only operation, but it does not explain pagination, rate limits, or whether any shared state is modified. This lack of detail is insufficient for a trustworthy tool.

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 sentence, which is concise, but it sacrifices necessary details. It can be expanded without becoming overly long, so the score reflects average efficiency.

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 low schema coverage, no output schema, and simple parameter set, the description should provide more context about return values, error cases, and registration semantics. It falls short of being complete for agent decision-making.

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 schema has one required parameter (client_id) with 0% documentation coverage. The description does not explain what client_id represents, expected format, or constraints, leaving a critical gap for the agent to know how to use it correctly.

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 a specific verb-resource pair: 'List all registered agents for a client_id.' This distinguishes it from sibling tools like logicmem_memory_recall, which handle different resources or operations.

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 on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or comparison with similar tools, leaving the agent to infer usage from the name alone.

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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