ruvltra_code_generate

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

No annotations are provided, so the description carrries full burden of behavioral disclosure. It only says it generates code and recommends English; it doesn't disclose side effects, whether filePath writes to disk, execution behavior, 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The action is front-loaded and the English-language hint is a single concise, useful sentence.

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?

Output schema covers return format, but the tool has 7 parameters, no annotations, and no sibling differentiation. The description is too thin to let an agent reliably select or configure the tool correctly for non-trivial generation tasks.

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 0%, so the description must compensate for the seven parameters. It maps 'instruction' and 'context' and hints at language via English, but leaves filePath, maxTokens, timeoutMs, and temperature unexplained.

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?

Description uses a specific verb ('Generate') and resource ('code') and names the inputs 'instruction and context.' However, with siblings like code_complete and parallel_generate, it doesn't distinguish why this tool is chosn over those alternatives.

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 says to provide instructions and context in English for best output quality, which is a useful usage hint, but it doesn't explain when to use this tool versus ruvltra_code_complete or ruvltra_parallel_generate, nor provide exclusions or prerequisites.

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