Server Quality Checklist

Tool Scores

• agent_state_log_messageB
  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 but fails to address critical traits: it does not specify the log file naming convention, concurrency behavior, encoding, maximum size limits, or whether the operation is atomic. It only confirms the append operation.

  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 concise with a clear first sentence stating the action. The Args structure efficiently documents parameters without redundancy, though the mixture of narrative and docstring-style formatting is slightly inconsistent.

  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 adequately covers the two input parameters but leaves gaps regarding return values (no output schema exists), error conditions, and the specific log file path/name generation. For a simple logging utility, this is minimally viable but incomplete.

  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?

  Given 0% schema description coverage, the Args section effectively compensates by providing clear semantics for both parameters. It specifies that 'directory' requires an absolute path to a GitHub worktree/repository and that 'message' is the content to append, though it omits format constraints or validation rules.

  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 core action ('Append a message to the log file') with a specific verb and resource. However, it does not explicitly differentiate from the sibling tool 'agent_state_load_log' or clarify when logging is preferred over state updates.

  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 the sibling state management tools (load_log, load_state, update_state). There is no mention of prerequisites, such as whether the directory must exist or if the log file is created automatically.

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

• agent_state_load_stateB
  3.4/5.0
  Behavior3/5

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

  With no annotations, description carries full burden. Discloses critical 'empty string if file doesn't exist' behavior, but fails to explicitly state read-only nature, thread-safety, or state file format expectations.

  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?

  Uses structured Args/Returns format that is concise and front-loaded with purpose. Information density is high with no redundant sentences, though pseudo-code style is slightly less natural than prose.

  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?

  Appropriately complete for a single-parameter read operation. Leverages existence of output schema to avoid over-explaining return values while still disclosing the empty-string edge case.

  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?

  Excellent compensation for 0% schema coverage. Describes 'directory' as 'Absolute path to the GitHub worktree or repository directory where the state file is located', providing domain context (GitHub) and file location semantics beyond raw 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?

  States specific verb (Load) + resource (agent state) + source (state file). Distinguishes from siblings implicitly via 'load' vs 'update' (update_state) and 'state' vs 'log' (load_log), though explicit differentiation is absent.

  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?

  Provides no guidance on when to use this versus agent_state_update_state (read vs write) or agent_state_load_log (state vs log history). No prerequisites or conditions specified.

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

• agent_state_update_stateA
  3.5/5.0
  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. It successfully discloses the destructive replacement behavior, but omits other critical behavioral traits such as whether it creates the file/directory if missing, atomicity guarantees, or error conditions.

  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 efficiently structured with a one-sentence purpose statement followed by a clear Args block. There is minimal redundancy, though the Args formatting consumes space that could be in the schema itself.

  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 lack of annotations, output schema, and schema descriptions, the description provides adequate but incomplete coverage. It misses error handling behavior, return values (success/failure indicators), and file format details that would be necessary for robust agent operation.

  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?

  With 0% schema description coverage, the Args block fully compensates by providing detailed semantics: 'directory' is clarified as an absolute path to a GitHub worktree/repository, and 'state' is explained as the current state description of the agent's task. This adds complete meaning beyond the raw schema types.

  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 updates the agent state file and explicitly notes the destructive 'replacing its contents' behavior. This distinguishes it from sibling load_state (read) and log_message (likely append) operations, though it doesn't explicitly name those alternatives.

  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?

  There is no guidance on when to use this tool versus the sibling load_state or log_message tools, nor any mention of prerequisites (e.g., directory must exist) or idempotency considerations.

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

• agent_state_load_logA
  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 the full burden. It discloses the tail-reading behavior and the edge case (returning entire log if shorter), but omits safety characteristics, error handling (file not found), and side effects.

  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?

  Uses a structured docstring format with Args and Returns sections. The opening sentence summarizes the operation, and every subsequent line provides specific parameter or return value details without redundancy.

  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 low complexity (2 primitive parameters) and existence of an output schema, the description is nearly complete. It documents both parameters and return behavior, though it could be improved by mentioning error conditions like missing files.

  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 schema has 0% description coverage, but the description fully compensates via the Args block. It clarifies that 'directory' expects an absolute path to a GitHub worktree and that 'num_chars' retrieves from the end of the log, adding crucial context absent from the schema.

  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 specifies the exact operation (Load), resource (log file), and scope (last num_chars characters). It clearly distinguishes from sibling tools like 'load_state' by explicitly referencing the 'log file' rather than state.

  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 siblings (e.g., when to load logs vs. loading state) nor does it mention prerequisites like the log file's existence. Only behavioral edge cases are covered.

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