Server Quality Checklist

Tool Scores

• initialize_repositoryC
  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 states the tool initializes a path for future operations, but doesn't explain what 'initialize' entails (e.g., does it cache data, set up configurations, or validate the path?). It also omits details like error handling, permissions needed, or side effects, leaving significant gaps 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.

  Conciseness4/5

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

  The description is appropriately sized and front-loaded: the first sentence states the core purpose, followed by a brief parameter explanation. There's no wasted text, and the structure is clear. However, it could be slightly more efficient by integrating the parameter info more seamlessly, preventing a perfect score.

  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 (a setup tool with no annotations, no output schema, and low schema coverage), the description is incomplete. It doesn't explain what happens after initialization (e.g., success/failure states, return values, or how it interacts with sibling tools like 'read_file'). For a tool that likely enables other operations, more context on its role and outcomes is needed.

  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 description adds some meaning beyond the input schema: it explains that 'path' is 'Path to the repository root directory that contains the code to analyze,' clarifying the parameter's purpose. However, with 0% schema description coverage and only one parameter, the baseline is 4 for zero parameters, but here it's reduced to 3 because the description doesn't fully compensate for the lack of schema details (e.g., format expectations like absolute vs. relative paths).

  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: 'Initialize the repository path for future code analysis operations.' It specifies the verb ('initialize') and resource ('repository path'), making the action explicit. However, it doesn't distinguish this from sibling tools like 'get_repo_info' or 'get_repo_structure', which prevents 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 minimal guidance: it implies this tool should be used before other code analysis operations. However, it doesn't specify when to use it versus alternatives (e.g., if 'get_repo_info' might also initialize a path), nor does it mention prerequisites or exclusions. This lack of explicit context limits its utility for an AI agent.

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

• get_repo_infoB
  3.1/5.0
  Behavior2/5

  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 gets information, implying a read-only operation, but doesn't specify what type of information (e.g., metadata, status, details) or any behavioral traits like error handling, permissions needed, or response format. This leaves significant gaps for a tool with zero annotation coverage.

  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 directly states the tool's purpose without any unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured.

  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 (simple read operation) but lack of annotations and output schema, the description is incomplete. It doesn't explain what information is returned, potential errors, or how it differs from siblings, leaving the agent with insufficient context to use it effectively beyond basic purpose.

  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 0 parameters, and the schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't mention parameters, aligning with the schema. A baseline of 4 is applied as it handles the zero-parameter case correctly without redundancy.

  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 ('Get information') and resource ('currently initialized code repository'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'get_repo_structure' or 'initialize_repository', which prevents 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 minimal guidance by implying usage when a repository is 'currently initialized,' but it doesn't specify when to use this tool versus alternatives like 'get_repo_structure' or 'initialize_repository.' No explicit when-not-to-use or prerequisite information is included.

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

• get_repo_structureB
  3.3/5.0
  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. It states what the tool does but lacks behavioral details such as whether this is a read-only operation, potential rate limits, error conditions, or the format of the returned structure. The description doesn't contradict annotations, but it's insufficient for a mutation-free tool with zero annotation coverage.

  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 with the purpose in the first sentence, followed by parameter details. It's efficient with no wasted sentences, though the parameter explanations could be slightly more integrated into the flow.

  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 optional parameters) and lack of annotations or output schema, the description is partially complete. It covers the purpose and parameters well but misses behavioral context and usage guidelines, leaving gaps for an AI agent to understand full tool behavior.

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

  Parameters5/5

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

  The description adds significant meaning beyond the input schema, which has 0% description coverage. It explains that 'sub_path' is an 'Optional subdirectory path relative to repository root' and 'depth' is an 'Optional maximum depth to traverse (default is 3)', providing clear semantics and default values not present in 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: 'Get the structure of files and directories in the repository.' This is a specific verb ('Get') and resource ('structure of files and directories'), though it doesn't explicitly distinguish from sibling tools like 'get_repo_info' or 'read_file'.

  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 sibling tools like 'get_repo_info' (which might provide metadata) or 'read_file' (which reads file contents), nor does it specify prerequisites or exclusions for usage.

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

• read_fileB
  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 for behavioral disclosure. It states the tool reads and displays file contents, implying a read-only operation, but lacks details on permissions, error handling (e.g., for missing files), output format (e.g., text vs. raw bytes), or limitations (e.g., file size constraints). This leaves significant gaps in understanding how the tool behaves beyond its basic function.

  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 with two sentences: a clear purpose statement and parameter explanation. It's front-loaded with the core function, and the parameter note adds necessary detail without redundancy. However, the formatting with 'Args:' could be slightly more integrated for optimal flow.

  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 low complexity (one parameter, no output schema, no annotations), the description is minimally complete but has gaps. It covers the basic purpose and parameter semantics but lacks usage guidelines, behavioral details, and output information, making it adequate for simple tasks but insufficient for robust agent operation in varied scenarios.

  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 description adds meaningful context for the single parameter 'file_path' by specifying it's 'relative to repository root', which clarifies usage beyond the schema's basic type definition. With 0% schema description coverage and only one parameter, this compensates adequately, though it doesn't detail format constraints (e.g., path syntax).

  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 specific action ('Read and display the contents') and resource ('a file from the repository'), distinguishing it from sibling tools like get_repo_info (repository metadata) and get_repo_structure (directory listing). It precisely communicates what the tool does without being vague or tautological.

  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. While it implies usage for reading file contents, it doesn't specify prerequisites (e.g., repository must be initialized), exclusions (e.g., binary files), or comparisons to sibling tools like get_repo_structure for browsing directories. This leaves the agent without contextual decision-making help.

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