Server Quality Checklist

Tool Scores

• generate-imageC
  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 the full burden of behavioral disclosure. It mentions 'selectable text-to-image model' but fails to detail critical aspects like rate limits, authentication requirements, cost implications, or output format (e.g., image URL, base64). For a generative tool with zero annotation coverage, this is a significant gap in transparency.

  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, efficient sentence that front-loads the core functionality without unnecessary details. It avoids redundancy and wastes no words, making it easy for an agent to parse quickly.

  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 the tool's complexity (7 parameters, generative nature) and lack of annotations or output schema, the description is insufficient. It omits behavioral traits like safety, performance, or output handling, leaving the agent under-informed about how to effectively invoke and interpret results from this tool.

  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%, meaning all parameters are well-documented in the schema itself. The description adds no additional parameter semantics beyond what the schema provides, such as explaining trade-offs between model choices or image size effects. This meets the baseline for high schema coverage but doesn't enhance understanding.

  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: 'Generate an image from a text prompt using a selectable text-to-image model.' It specifies the verb ('Generate'), resource ('image'), and mechanism ('text-to-image model'). However, with no sibling tools mentioned, it lacks explicit differentiation from alternatives, preventing a perfect score.

  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, prerequisites, or exclusions. It merely states what the tool does without context for its application, leaving the agent to infer usage scenarios independently.

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