naming_convention

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

No annotations are provided, so the description must cover behavioral traits. It lists the target conventions but does not disclose how the tool handles edge cases (e.g., invalid names, mixed conventions) or any side effects. It is adequate for a simple transformation tool but could be more transparent.

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 concise: two sentences. The first sentence clearly states the purpose. The parameter list is formatted as a list, which is efficient but could be more structured (e.g., using markdown). Overall, it is appropriately sized with minimal waste.

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's simplicity and the presence of an output schema (not shown), the description is reasonably complete. It covers input parameters and supported conventions. It does not discuss return values, but the output schema likely covers that. It lacks details on error handling or unsupported inputs.

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 explain parameters. It does so by describing 'name' and 'target', listing valid values for target. This adds meaning beyond the basic type and default. However, it could be more precise about what 'name' accepts (e.g., whether spaces are allowed).

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's purpose: 'Convert identifier names between naming conventions.' It specifies the action (convert) and the resource (identifier names). This effectively distinguishes it from sibling tools like convert_case or swap_case that handle general text case transformations.

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?

No explicit guidance on when to use this tool versus alternatives. While the purpose is clear, the description lacks information on prerequisites, exclusions, or specific contexts where this tool is preferred over similar tools like 'convert_case' or 'slugify_text'.

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