Server Quality Checklist

Tool Scores

• code-explainerC
  2.4/5.0
  Behavior1/5

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

  The description lacks any behavioral context such as whether the tool reads or modifies code, requires authentication, or has side effects. With no annotations, this omission is critical for safe usage.

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

  Conciseness4/5

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

  The description is a single concise sentence, but it omits essential details such as input method, output format, and usage examples. While brief, it is not adequately informative.

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

  Completeness1/5

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

  Given no parameters, no output schema, and minimal description, the tool definition is severely incomplete for an agent to use correctly. The description does not specify what the tool does exactly (e.g., returns a report, updates code, etc.) or how to invoke it.

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

  Parameters2/5

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

  Despite having zero parameters, the description does not explain how the agent should provide code for exploration. The input schema is empty, implying input may come from context, but this is not clarified, leaving ambiguity in invocation.

  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 helps novice programmers understand code and analyze tech stack and best practices. It is specific on the target audience and function, but does not differentiate from sibling tools like gen_prd_prototype_html or typescript-challenge-analyzer, leaving some ambiguity about when to use this one.

  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?

  No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, context, or conditions that would help an agent decide whether to invoke code-explainer over other tools.

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

• typescript-challenge-analyzerC
  2.4/5.0
  Behavior2/5

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

  No annotations are provided. The description mentions analyzing a 'provided ts code snippet', but the input schema has zero parameters, creating a contradiction about how input is received. No behavioral details beyond the purpose.

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

  Conciseness3/5

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

  The description is a single sentence, which is concise but not well-structured. It front-loads the purpose but lacks clarity about input and output. Every sentence is present but not all information is earned due to the schema contradiction.

  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 complexity of analyzing TypeScript code, the description is incomplete. It does not mention output format, return values (no output schema), or how the code snippet is provided. The tool's behavior is under-specified, especially with no annotations.

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

  Parameters2/5

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

  The input schema has no parameters, but the description implies a code snippet input. This contradiction misleads the agent about how to invoke the tool. The description fails to add meaningful parameter information; it adds confusion instead.

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

  Purpose3/5

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

  The description states the tool analyzes TypeScript code for advanced type techniques, providing best practices and examples. However, it does not differentiate from sibling 'code-explainer', which may have overlapping functionality. The purpose is clear but lacks distinction.

  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 implies usage for developers learning TypeScript type system, but provides no explicit guidance on when to use this tool versus siblings (code-explainer, gen_prd_prototype_html) or when not to use it. No context or prerequisites are mentioned.

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

• gen_prd_prototype_htmlA
  3.9/5.0
  Behavior2/5

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

  No annotations are present, so the description must fully disclose behavior. It mentions 'based on user-provided product concept' but the tool has no input parameters, leaving ambiguity about how the concept is supplied. It does not state whether the operation is read-only or destructive, nor any prerequisites.

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

  Conciseness4/5

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

  The description is a single sentence that is well-structured and front-loaded with the main purpose. It conveys all key information without unnecessary words, though it could be slightly more concise.

  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?

  Given the complexity of generating a PRD and prototype, the description is fairly complete: it specifies the output format, input source, and target audience. It lacks details on how the HTML is returned, but no output schema exists to compensate.

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

  Parameters4/5

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

  The tool has no parameters, so the schema coverage is 100%. Baseline for zero parameters is 4. The description adds context about the input concept but does not need to explain parameter semantics further.

  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 tool generates a complete PRD and high-fidelity interactive prototype integrated into a single HTML file based on user-provided product concepts. It specifies the output format and use cases, and it is clearly differentiated from sibling tools like code-explainer and typescript-challenge-analyzer.

  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 mentions the tool is suitable for product team review, roadshows, and development, providing context on when to use it. However, it does not explicitly state when not to use it or name alternatives, though siblings are distinct.

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