Server Quality Checklist

Tool Scores

• generate_excelA
  3.8/5.0
  Behavior2/5

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

  No annotations provided, so description carries full burden. It omits behavior details such as side effects, file handling, or limitations. Only mentions 'realistic, well-formatted data', not sufficient.

  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?

  Three sentences, front-loaded with purpose, no fluff. Perfectly concise.

  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?

  No output schema, yet description does not state what the tool returns (e.g., file path, buffer). Missing crucial return information for a file generation tool.

  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?

  Schema coverage is 100%; description adds value with examples and clarifies default row count and range for the 'rows' parameter.

  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?

  Description clearly states tool generates a .xlsx spreadsheet from natural language, with realistic tables. Sibling tools (generate_code, etc.) are distinct in purpose.

  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?

  Explicitly lists use cases like financial statements, sales data, but does not provide when-not-to-use or alternative tools.

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

• generate_codeA
  3.9/5.0
  Behavior3/5

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

  No annotations provided, so the description carries full burden. It mentions best practices and naming conventions but lacks details on code length, reliability, or limitations. It is not contradictory but could be more specific.

  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 concise with two sentences, front-loaded with the main action, and no wasted words.

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

  Completeness3/5

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

  With 3 parameters and no output schema or annotations, the description adequately covers purpose but lacks details on output format, limitations, or edge cases. It is minimally complete.

  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 the baseline is 3. The description does not add significant meaning beyond what the input schema already provides for the parameters.

  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 production-ready source code from natural language, specifying verb and resource, and distinguishes it from siblings like generate_excel, generate_ppt, and generate_word.

  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 explicitly suggests use cases: rapid prototyping, boilerplate generation, or educational examples. However, it does not explicitly state when not to use or mention alternatives.

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

• generate_pptA
  4/5.0
  Behavior3/5

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

  No annotations are provided, so the description must carry the burden. It states the AI creates structured slide content with titles, bullet points, and visual suggestions, which gives basic behavioral insight. However, it does not disclose constraints, output handling, or potential side effects, leaving some gaps.

  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 two sentences long with no wasted words. The first sentence states the core function and output format, and the second explains the AI's role and usage guidance. Every sentence serves a clear purpose.

  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 3 parameters and no output schema, the description covers the essential purpose and usage. It explains what the tool creates and when to use it. It could be more complete by mentioning how the result is returned (e.g., file download or link), but overall it is sufficient for agent understanding.

  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%, with each parameter already described. The description adds general context (e.g., 'from natural language') but does not provide parameter-specific details beyond what the schema already offers. As baseline, this is adequate.

  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 PowerPoint presentation (.pptx) from natural language, and mentions creating structured slide content. It also provides specific use cases (presentation slides, pitch decks, training materials), distinguishing it from sibling tools like generate_code, generate_excel, and generate_word.

  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 includes explicit usage guidance: 'Use this when you need presentation slides, pitch decks, or training materials.' This clearly indicates when to use the tool. However, it does not provide explicit negative examples or alternatives beyond what sibling names imply.

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

• generate_wordA
  4/5.0
  Behavior3/5

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

  With no annotations provided, the description carries full burden. It discloses that the output includes 'headings, paragraphs, bullet points, and proper formatting' but lacks details on potential limitations (e.g., file size, images, tables) or side effects. Additional behavioral context would improve 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 two sentences plus an example list, with the purpose front-loaded. Every sentence adds value, and there is no redundancy. Highly concise and well-structured.

  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 3 parameters with full schema coverage and no output schema, the description adequately covers the tool's purpose, typical use cases, and expected output characteristics. It does not explain return values explicitly, but that is not required. Minor gaps in limitations transparency, but overall complete for its complexity.

  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 the baseline is 3. The description does not add meaning beyond what the schema provides for parameters; it only states 'from natural language' which aligns with the schema. No additional semantic details are given.

  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 uses a specific verb ('Generate') and resource ('Word document (.docx) from natural language') and explicitly lists example uses (proposals, reports, meeting minutes, manuals) which clearly distinguishes it from sibling tools like generate_code, generate_excel, and generate_ppt.

  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 provides clear usage contexts ('Use this for proposals, reports, meeting minutes, manuals, or any formal document') but does not explicitly state when not to use or mention alternatives. However, the siblings are distinct enough that no exclusion is needed.

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