Server Quality Checklist

Tool Scores

• verilator_naturallanguageC
  2.4/5.0
  Behavior2/5

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

  No annotations are provided, so the description must disclose behavioral traits. It only says 'process natural language queries' without indicating safety, side effects, authentication needs, or whether it modifies state or returns results. This is insufficient for an agent to understand the tool's behavior.

  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 a single sentence, making it concise but lacking structure. It is front-loaded, but brevity sacrifices important details. It is under-specified for the tool's complexity, earning a middle score.

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

  Completeness1/5

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

  Given the tool has 3 parameters including nested objects, no annotations, and no output schema, the description is severely incomplete. It fails to explain return values, side effects, or how to use the parameters. This is a significant gap for a tool of this complexity.

  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 description coverage is only 33%, and the tool description does not mention any of the three parameters (query, context, history). It adds no meaning beyond the schema, failing to compensate for the low coverage. Parameters are entirely undocumented in the description.

  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 it processes natural language queries about RTL simulation, debugging, and analysis. It distinguishes from sibling tools which are about compilation, simulation, and testbench generation. However, the verb 'process' is somewhat vague and could be more specific (e.g., answer, interpret).

  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 (verilator_compile, verilator_simulate, verilator_testbenchgenerator) or any context for appropriate usage. No when-not-to-use or alternatives are mentioned.

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

• verilator_simulateC
  2.9/5.0
  Behavior2/5

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

  With no annotations, the description should disclose behavioral traits like file creation, side effects, error handling, and performance impacts. It only hints at conditional testbench generation but fails to explain the simulation process, resource usage, or that it modifies output directories. This is insufficient for an agent to anticipate the tool's full behavior.

  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 extremely concise at one sentence, capturing the core action. It is front-loaded with the main purpose. However, given the tool's complexity (18 parameters), the description may be too brief to be fully informative; a slightly longer description could add useful context without becoming verbose.

  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?

  The description lacks information about return values (no output schema), simulation results, error handling, and the overall workflow. For a complex tool with many parameters, the description is not sufficiently complete to guide an agent on expected outcomes or process steps.

  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 input schema has 100% parameter description coverage, so the baseline is 3. The tool description adds no additional meaning or context for the parameters beyond what the schema already provides. Thus it meets the baseline expectation.

  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 primary action (run RTL simulation) and highlights a key feature (automatic testbench generation). However, it does not explicitly differentiate from sibling tools like verilator_testbenchgenerator, which also generates testbenches. The purpose is largely clear but lacks distinct context.

  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 usage guidelines are provided. The description does not specify when to use this tool over verilator_compile, verilator_testbenchgenerator, or other alternatives. There are no prerequisites, conditions, or exclusions mentioned, leaving the agent without guidance on appropriate deployment.

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

• verilator_compileB
  3.1/5.0
  Behavior2/5

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

  With no annotations, the description carries the full burden of behavioral disclosure, but it only states the basic compile action. It does not disclose side effects (e.g., overwriting output directory), resource usage, or authentication needs, which are important for such a 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 a single, clear sentence. While it is appropriately concise, it could include more useful context without becoming overly verbose, so it is not a 5.

  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 (15 parameters, no output schema), the description is insufficient. It does not explain return values, success/failure behavior, or prerequisites. The absence of an output schema increases the need for description completeness, which is lacking.

  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 input schema has 100% parameter description coverage, so the baseline is 3. The tool description adds no additional meaning to any parameter, but it does not need to since the schema describes all parameters adequately.

  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 ('compile'), the resource ('Verilog/SystemVerilog design files'), the output ('to C++'), and the tool ('using Verilator'). This distinguishes it from sibling tools like 'verilator_simulate' and 'verilator_testbenchgenerator', which have different purposes.

  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 (e.g., verilator_simulate for simulation, verilator_testbenchgenerator for testbenches). It lacks explicit context, exclusions, or alternatives.

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

• verilator_testbenchgeneratorA
  3.5/5.0
  Behavior3/5

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

  No annotations are provided, so the description must carry the full burden. It mentions 'intelligent' and 'automatic' stimulus generation but does not disclose behaviors like overwriting files, dependencies, or side effects. Some behavioral traits (e.g., generating checkers) are only implied via parameters.

  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 a single concise sentence that front-loads the key action. It is appropriately sized but could include more structure (e.g., a brief list of capabilities). No redundant information.

  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 has 13 parameters, no output schema, and no annotations, the description is too high-level. It does not explain return values, file creation, error handling, or what constitutes a successful generation. The complexity demands more 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 100%, so baseline is 3. The description adds no additional meaning beyond parameter names and types. It does not explain relationships or constraints among parameters.

  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 generates testbenches for Verilog/SystemVerilog modules with automatic stimulus generation, and the verb 'generate' and resource 'testbenches' are specific. It effectively distinguishes from siblings like compile, simulate, and natural language.

  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?

  While the description implies use when needing testbenches, it provides no explicit guidance on when to use this tool vs alternatives like verilator_compile or verilator_simulate. No when-not-to-use or exclusion criteria are given.

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