Server Quality Checklist

Tool Scores

• initC
  2.4/5.0
  Behavior2/5

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

  With no annotations, the description carries full burden but only states the tool returns True if successful. It does not disclose side effects (e.g., file creation), failure behavior, or whether it is destructive. For a mutation-like tool, this is insufficient.

  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 very short (two sentences), which is concise but at the expense of necessary details. It is front-loaded with the core action, but lacks depth to be truly helpful.

  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 environment initialization, the presence of sibling tools, and the lack of output schema or annotations, this description is incomplete. It fails to explain what the tool does beyond the name and how it interacts with other tools.

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

  Parameters1/5

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

  The single required parameter 'current_working_dir' has 0% schema description coverage, and the description adds no meaning about it (e.g., where the environment is created). The agent must infer usage, which is poor.

  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 initializes a virtual environment, which is a specific verb+resource. It is distinct from sibling tools like add_package or run_in_venv. However, it lacks specificity (e.g., type of environment) and mixes a return value instead of focusing solely on purpose.

  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 its siblings. It does not mention prerequisites, alternative actions like adding packages, or context for initialization.

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

• syncC
  2.4/5.0
  Behavior2/5

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

  The description only mentions the return value (True if successful) but does not disclose any side effects, such as whether it modifies files or requires specific permissions.

  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?

  Two sentences are concise, but the description is too sparse, lacking essential details that would justify its length.

  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?

  While the purpose is stated, the description misses critical information about the parameter and usage context, making it incomplete for effective tool invocation.

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

  Parameters1/5

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

  The description does not explain the sole parameter 'current_working_dir'; with 0% schema description coverage, the agent cannot understand what input is needed.

  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 action (sync) and the resources involved (pyproject.toml with virtual environment), distinguishing it from sibling tools that add/remove packages.

  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, or any prerequisites for its use.

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

• add_packageC
  2.7/5.0
  Behavior3/5

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

  No annotations provided, so description carries full burden. It discloses side effects (modifies pyproject.toml and venv) and return value (True if successful), but does not mention error states or permissions.

  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?

  Concise with efficient use of words. Docstring format with Arg list. However, lacks description for one parameter, which reduces effectiveness.

  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?

  Incomplete for a tool with 3 required params, no output schema, and no annotations. Missing explanation of 'current_working_dir' and more details on behavior.

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

  Parameters1/5

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

  Schema coverage is 0%, so description must describe all parameters. It only covers 2 of 3 required parameters (package_name and dev) and omits 'current_working_dir' entirely. Descriptions for covered params are minimal.

  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 action (add package) and target (pyproject.toml, virtual environment), but it does not distinguish from sibling tool 'add_packages' which might be used for multiple packages.

  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 on when to use this tool versus alternatives like 'add_packages' or 'init'. No context about prerequisites or use cases.

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

• run_in_venvC
  2.7/5.0
  Behavior2/5

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

  Only mentions 'Returns True if successful', but no annotations are provided. Lacks detail on side effects, failure modes, or environment impact for a command execution tool.

  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?

  Two sentences is concise, but the structure is flat. The docstring-style parameter list is not front-loaded with key info.

  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?

  Lacks return value format, error behavior, and context about the virtual environment. Does not explain how 'current_working_dir' is used. Incomplete for a simple tool.

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

  Parameters1/5

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

  With 0% schema description coverage, the description adds no meaning beyond parameter names. 'current_working_dir' is not explained, and 'command' and 'args' are only restated.

  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 'Run a command in virtual environment', which is a specific verb+resource. It distinguishes from siblings which are package management tools.

  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 on when to use this tool vs alternatives like add_package or sync. There is no mention of prerequisites or typical use cases.

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

• remove_packageB
  3.4/5.0
  Behavior2/5

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

  No annotations are provided, so the description must fully convey behavioral traits. It mentions returning True on success but omits error handling, side effects (e.g., uninstalling the package), permissions, or behavior when the package is not found. The description is too sparse for a mutation tool.

  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 concise with a clear main sentence and a brief parameter list. It is front-loaded with the purpose and avoids unnecessary details, though the parameter descriptions could be integrated more smoothly.

  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?

  The description explains the return value and basic effect (removal from pyproject.toml and virtual environment), but lacks details on the full process (e.g., whether the package is uninstalled from the environment) and does not describe 'current_working_dir'. Given no output schema, more context on behavior and prerequisites would improve completeness.

  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 0%. The description adds meaning for 'package_name' (name of package) and 'dev' (removal from dev group) but does not describe the required 'current_working_dir' parameter. This leaves a significant gap for a required 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?

  The description clearly states the action: 'Remove package from pyproject.toml file and update the virtual environment.' It distinguishes from sibling tools like 'add_package' and 'add_packages' by being the removal counterpart, making the purpose unambiguous.

  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 removing a package but does not explicitly state when to use this tool versus alternatives like 'add_package' or 'sync'. No prerequisites or exclusions are mentioned, leaving the agent to infer context.

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

• add_packagesA
  3.5/5.0
  Behavior3/5

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

  Adds value by stating that the virtual environment is updated, but lacks details on error handling, rollback, or whether it overwrites existing packages. As no annotations are provided, this is only partial.

  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?

  Concise, with a clear one-sentence purpose followed by a structured parameter list. No wasted words, though the parameter descriptions could be integrated into the schema for better structure.

  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?

  Does not cover error scenarios, behavior on failure, or differentiation from siblings like 'init' or 'sync'. With no output schema and 3 required params, the description is insufficiently comprehensive.

  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?

  Describes two parameters (package_names and dev) in the docstring, but the third parameter 'current_working_dir' is not explained. Schema coverage is 0%, so description partially compensates but is incomplete.

  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 verb (add), resource (packages to pyproject.toml and virtual environment), and bulk operation. Distinguishes from sibling 'add_package' which is singular.

  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?

  Implies bulk use via 'many packages at once' but does not explicitly state when to use this tool versus alternatives like 'add_package' or prerequisites (e.g., pyproject.toml must exist).

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