Server Quality Checklist

Tool Scores

• qwen_maxC
  2.9/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Generate text' implies a read-only operation, it doesn't disclose important behavioral traits like rate limits, authentication requirements, response format, error conditions, or cost implications. For a text generation tool with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

  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 extremely concise at just 5 words. Every word earns its place by specifying the action ('Generate'), resource ('text'), and model ('Qwen Max model'). There's no wasted language, repetition, or unnecessary elaboration. The structure is front-loaded with the core function.

  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 this is a text generation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns, error conditions, rate limits, or any behavioral characteristics. While the schema covers parameters well, the overall context for using this tool effectively is incomplete. A text generation tool needs more contextual information than provided.

  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%, so all parameters are documented in the schema. The description adds no parameter-specific information beyond what the schema already provides. It doesn't explain relationships between parameters, provide examples, or add semantic context. The baseline score of 3 reflects adequate parameter documentation coming entirely from the schema.

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

  Purpose4/5

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

  The description clearly states the tool's purpose as 'Generate text using Qwen Max model' - a specific verb ('Generate') with resource ('text') and model specification. It distinguishes itself as a text generation tool, though with no sibling tools, differentiation isn't needed. The purpose is unambiguous but could be slightly more specific about the type of text generation.

  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?

  The description provides no guidance on when to use this tool versus alternatives. With no sibling tools mentioned, there's no context about other available models or tools. It doesn't mention prerequisites, limitations, or ideal use cases. The agent receives only the basic function without usage context.

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