Server Quality Checklist

Tool Scores

• read_fileC
  2.9/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden for behavioral disclosure. While 'Read' implies a read-only operation, it doesn't specify permissions required, file size limits, encoding handling, error conditions, or what happens with binary files. This leaves significant gaps for a tool that interacts with the filesystem.

  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 perfectly concise at just 5 words: 'Read the contents of a file'. Every word earns its place, with no wasted language or unnecessary elaboration. It's front-loaded with the core action and resource.

  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?

  For a filesystem tool with no annotations and no output schema, the description is insufficient. It doesn't address critical context like return format (text, binary, encoding), error handling, permissions, or limitations. The agent would need to guess about important behavioral aspects of file reading.

  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?

  The schema description coverage is 100%, with the single parameter 'path' clearly documented in the schema as 'The absolute path to the file to read'. The description adds no additional parameter information beyond what's already in the schema, so the baseline score of 3 is appropriate.

  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 verb ('Read') and resource ('contents of a file'), making the purpose immediately understandable. It doesn't specifically differentiate from sibling tools like 'read_project_structure' or 'analyze_project', but the action is unambiguous for a file-reading operation.

  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 like 'read_project_structure' or 'analyze_project'. It doesn't mention any prerequisites, limitations, or specific contexts where this tool is preferred over other file-related operations.

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

• read_project_structureB
  3.3/5.0
  Behavior3/5

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

  With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool reads and returns a tree-like structure, which implies it's a read-only operation, but doesn't cover aspects like error handling (e.g., if the path doesn't exist), performance considerations, or any side effects. It adds basic context but lacks depth for a tool with no annotation support.

  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 highly concise and front-loaded: two sentences that directly state the action and output without unnecessary words. Every sentence earns its place by conveying essential information efficiently.

  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?

  Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally complete. It covers the basic purpose and output but lacks details on usage guidelines, behavioral traits, and error handling. With no output schema, it should ideally explain return values more thoroughly, but it only mentions 'tree-like structure' vaguely.

  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 schema already documents both parameters ('path' and 'maxDepth') with descriptions. The description doesn't add any parameter-specific details beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate when the schema handles parameter documentation adequately.

  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: 'Read the directory structure of a project' specifies the verb (read) and resource (directory structure), and 'Returns a tree-like structure of files and folders' clarifies the output. However, it doesn't explicitly differentiate from sibling tools like 'analyze_project' or 'read_file', which might have overlapping functionality.

  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. It doesn't mention when to choose 'read_project_structure' over 'analyze_project' or 'read_file', nor does it specify prerequisites or exclusions. Usage is implied only by the purpose statement.

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

• generate_readmeB
  3.4/5.0
  Behavior2/5

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

  With no annotations provided, the description carries full burden but lacks key behavioral details: it doesn't specify if the tool overwrites existing README files, what permissions are needed, error handling, or output format. It mentions 'analyzes the project directory' but doesn't explain how this analysis works.

  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 appropriately sized and front-loaded, starting with the core function. All sentences contribute value, though it could be slightly more concise by combining some details about README content.

  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?

  For a tool with no annotations, no output schema, and one parameter, the description is adequate but incomplete: it covers what the tool does but lacks behavioral context and doesn't explain what 'ready to use' means in practice (e.g., file creation location, format specifics).

  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 schema already documents the single parameter 'projectPath'. The description adds no additional parameter semantics beyond what's in the schema, maintaining the baseline score.

  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's purpose with specific verbs ('generate', 'analyzes', 'creates') and resources ('README.md file for a project'), and distinguishes it from siblings by focusing on automated documentation generation rather than analysis or reading functions.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines3/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description implies usage for creating project documentation but doesn't explicitly state when to use this tool versus alternatives like 'analyze_project' or 'read_project_structure'. No exclusions 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.

• analyze_projectA
  3.9/5.0
  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 the tool's behavior by describing what it returns (structured data and README template) and how the LLM should use the output. However, it doesn't mention potential limitations like file size constraints, processing time, error conditions, or authentication requirements.

  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 appropriately sized and front-loaded, starting with the core functionality. Most sentences earn their place by explaining the output and usage guidance, though the final sentence about LLM adaptation 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 tool's complexity (analyzing entire projects) and lack of output schema, the description does well by detailing the two main return components and their contents. It explains how the output should be used, though it could benefit from mentioning error scenarios or performance characteristics for a more complete picture.

  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 schema already documents the single parameter 'projectPath' as an absolute path. The description doesn't add any parameter-specific information beyond what's in the schema, such as path format examples or validation rules. Baseline 3 is appropriate when schema does the documentation work.

  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's purpose with specific verbs ('analyze', 'return') and resources ('project directory', 'structured data', 'README template'). It distinguishes from sibling tools like 'generate_readme' by focusing on analysis rather than generation, and from 'read_project_structure' by providing comprehensive analysis beyond just structure.

  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 context for when to use this tool: to analyze a project directory and obtain structured data and a README template. It implicitly suggests using 'generate_readme' for actual README generation, but doesn't explicitly state when NOT to use this tool or compare alternatives in detail.

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