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TuringMind MCP Server

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by turingmindai

turingmind_log_reasoning

Document AI reasoning and decision-making for audit trails. Log analysis, plans, and observations without altering code.

Instructions

Log your reasoning/thinking process without making changes. Use this to document your thought process, analysis, and decisions. Creates a permanent record of AI reasoning for audit trails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoRepository identifier
contentYesThe reasoning/thought content
contextNoWhat you were looking at or considering
confidenceNoHow confident you are in this reasoning
session_idNoSession ID to group reasoning together
related_filesNoFiles related to this reasoning
reasoning_typeYesType of reasoning being logged
Behavior3/5

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

No annotations provided, so the description carries the burden. It states the tool is non-destructive ('without making changes') and creates a permanent record, but omits details like idempotency, rate limits, or response format.

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?

Two concise sentences, front-loaded with the core purpose, no unnecessary words.

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 logging tool, the description covers the purpose, usage, and permanence; it lacks detail on return values but that is acceptable given no output schema.

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 coverage is 100%, so the description does not need to add parameter details; it provides minimal extra context beyond the schema, which is adequate.

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 action ('log') and resource ('reasoning/thinking process') and explicitly notes it does not make changes, distinguishing it from sibling tools that modify state.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description tells when to use it ('document your thought process, analysis, and decisions') and mentions audit trails, but does not explicitly exclude alternatives or state when not to use.

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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