verilator_naturallanguage

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.

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.

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.

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.

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.

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.