Analyze code with NVIDIA Nemotron

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

With no annotations, the description carries the full disclosure burden. It does convey 'read-only,' the fixed model, and low reasoning effort, which are meaningful behavioral details. It still lacks information about the tool's return format, error behavior, or failure modes, so transparency is incomplete.

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 two tightly written sentences with no filler. The core 'read-only code analysis' behavior is front-loaded, and the usage routing note follows efficiently.

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?

For a small 2-parameter read-only tool, the description provides adequate context for purpose and routing. The absence of an output schema and the lack of any description of what the result looks like means the behavioral contract is not fully complete. Still, the read-only nature and model selection details mitigate many concerns.

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 100%, so the input schema already fully documents the two parameters. The tool description adds no parameter-level detail, which is acceptable at the baseline of 3 but no more.

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 the tool performs read-only code analysis using a specific model, which goes beyond just restating the name. However, it does not explicitly distinguish itself from the Cloudflare sibling beyond the shared 'analyze_code' prefix, so differentiation is incomplete.

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?

It explicitly says 'Use this after MiMo fails or is insufficient,' giving a clear when-to-use condition and naming one alternative. It does not mention the Cloudflare sibling, so the routing guidance is partial but still useful.

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