Server Quality Checklist

Tool Scores

• julia_list_sessionsA
  3.8/5.0
  Behavior2/5

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

  No annotations are provided, so the description must disclose behavior. It mentions 'active' but does not explain what constitutes active, nor does it cover output format, side effects, or error cases. This is insufficient for a tool with no annotations.

  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, clear sentence with no redundant or unnecessary words. It conveys the core purpose efficiently.

  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?

  For a straightforward list tool with no parameters and an output schema present, the description is largely complete. However, it could briefly mention what 'environments' entails or the structure of the output for added clarity.

  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 input schema has no parameters, and the description correctly implies no inputs are needed. Schema coverage is 100%, so the description adds minimal extra semantic value, but it reinforces the parameterless nature.

  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 specifies the tool's action ('list') and resource ('active Julia sessions and their environments'), which distinguishes it from siblings like julia_eval (evaluation) and julia_restart (restarting).

  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?

  No explicit guidance on when to use this tool over siblings or when it is appropriate. The context signals and sibling names provide implicit differentiation, but the description itself lacks direct usage recommendations.

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

• julia_evalA
  4.8/5.0
  Behavior4/5

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

  With no annotations, the description fully discloses behavior: persistent REPL session with state preserved, lazy session creation per env_path, timeout auto-disabled for Pkg operations, and the need for display/println to see output. It lacks details on error handling or side effects, but covers key behavioral traits adequately.

  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 and well-structured: a bold directive first, then a line about session behavior, then a bullet-point list for arguments. Every sentence adds value, and there is no redundant information.

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

  Completeness5/5

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

  Given 4 parameters, no annotations, and an existing output schema, the description covers purpose, usage guidelines, behavior, and parameter details comprehensively. It explains session persistence, environment management, and special timeout behavior, making the tool easy to use correctly.

  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?

  Schema coverage is 0%, but the description explains every parameter's purpose and usage: code requires display/println, env_path defaults to a temporary environment, timeout auto-disables for Pkg, and julia_cmd is rarely used with examples. This adds significant meaning beyond the schema's field names and types.

  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 explicitly states 'ALWAYS use this tool to run Julia code' and explains it as a persistent REPL session. The verb 'run' and resource 'Julia code' are specific, and the instruction 'NEVER run julia via command line' distinguishes it from command-line execution, setting it apart from siblings like julia_list_sessions and julia_restart.

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

  Usage Guidelines5/5

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

  The description provides clear directives: 'ALWAYS use this tool to run Julia code' and 'NEVER run julia via command line.' It also advises against typing Pkg.activate() explicitly, recommending the env_path argument instead. This explicitly communicates when to use this tool and how to use it correctly.

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

• julia_restartA
  5/5.0
  Behavior5/5

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

  Without annotations, the description fully discloses behavioral traits: restarting is slow, loses all state, Revise.jl is loaded automatically, and the default behavior of env_path restarts only the temporary session.

  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 and well-structured. It starts with the core purpose, then provides crucial context in an IMPORTANT note, and includes a clear Args section for the parameter. Every sentence adds value.

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

  Completeness5/5

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

  Given the presence of an output schema (which can describe return values), the description covers all other aspects: purpose, behavior, parameter semantics, and usage context. It is complete for the tool's complexity.

  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% coverage for the single parameter env_path. The description adds essential meaning: environment to restart, default behavior (restarts temporary session, not all active), and recommends using the same env_path from julia_eval.

  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 'Restart a Julia session, clearing all state,' which is a specific verb-resource pair. It distinguishes from siblings julia_eval and julia_list_sessions, which evaluate code and list sessions respectively.

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

  Usage Guidelines5/5

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

  Explicitly says 'Only restart as a last resort' and explains that Revise.jl automatically picks up code changes, so restarting is rarely needed. Provides clear when-to-use and when-not-to-use guidance.

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