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chaelynet

ChainMemory MCP

by chaelynet

chainmemory_profile

Fetch an AI agent's profile data: name, model, memory count, trust score, and registration block.

Instructions

Get this AI's profile: name, model, memory count, trust score, registration block.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ai_idNoAI ID (omit for own)
Behavior3/5

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

Without annotations, the description carries the burden. It implies a read operation and lists expected fields, which is sufficient for a simple getter. However, it does not disclose any side effects, rate limits, or prerequisites.

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 sentence that effectively lists the returned fields with no extraneous information. Every word earns its place.

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 simple tool with one optional parameter and no output schema, the description provides enough information for an agent to understand the tool's purpose and what it returns. It is complete for the level of complexity.

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

Parameters3/5

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

Schema description coverage is 100% for the single parameter ai_id (with description 'AI ID (omit for own)'). The tool description does not add further meaning beyond what the schema already provides, so a baseline score of 3 is appropriate.

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 'Get this AI's profile' as the verb+resource, and explicitly lists the fields returned (name, model, memory count, trust score, registration block). This distinguishes it from sibling tools like chainmemory_stats or get_my_context.

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. While the purpose is clear, there is no explicit statement of context or when not to use it.

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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