TuringMind MCP Server

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

With no annotations provided, the description carries the full burden and does well: it discloses the return behavior ('Returns the API key when authentication is complete, or 'pending' status'), side effects ('automatically saves API key to ~/.turingmind/config'), and auth requirements ('No API key required'). It lacks details on polling frequency or timeout, but covers key behavioral traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose, followed by usage, returns, side effects, and prerequisites in four efficient sentences with zero waste. Every sentence adds critical information without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (authentication polling with side effects), no annotations, and no output schema, the description is largely complete: it explains purpose, usage, returns, and side effects. It could improve by detailing error cases or polling intervals, but it covers the essentials well for the context.

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

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

Schema description coverage is 100%, so the schema already documents the single parameter 'device_code' with its description. The description adds minimal value beyond the schema by referencing 'device_code from turingmind_initiate_login,' which is implied in the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Poll for device code authentication completion') and resource ('device code authentication'), distinguishing it from siblings like turingmind_initiate_login (which initiates) and turingmind_validate_auth (which validates). It explicitly references the prerequisite tool and the outcome.

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

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

It provides explicit when-to-use guidance: 'Call this after turingmind_initiate_login, passing the device_code.' It also specifies when-not-to-use by stating 'No API key required to call this tool,' implying it's for authentication setup rather than authenticated operations. The context is clear with a named alternative (the prerequisite).

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