TuringMind MCP Server

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it's a write operation ('Upload'), stores specific data types, returns a review ID, and has permission requirements. It doesn't mention rate limits, idempotency, or error behaviors, but covers the essential mutation nature and auth needs.

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?

Three concise sentences with zero waste: first states purpose, second details what gets stored, third covers return value and permission requirement. Every sentence earns its place by adding distinct value.

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?

For a complex mutation tool with 8 parameters (including nested objects) and no annotations/output schema, the description provides good coverage: clear purpose, storage details, return value, and permission requirement. It could mention error cases or data format expectations but is largely complete for agent understanding.

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 all 8 parameters thoroughly. The description mentions what gets stored ('issues found, files reviewed, and review metadata') which aligns with parameters but doesn't add significant meaning beyond what the schema provides. Baseline 3 is appropriate when schema does 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 verb ('Upload') and resource ('code review results') with specific purpose ('for analytics and memory'). It distinguishes from sibling tools by focusing on uploading review data rather than getting context, login, feedback, or auth validation.

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?

The description provides clear context for when to use ('Upload code review results... for analytics and memory') and mentions a prerequisite ('Requires code_review:write permission'). However, it doesn't explicitly state when NOT to use this tool or name specific alternatives among siblings.

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