set_render_samples

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states the tool sets samples and returns a confirmation, but lacks details on side effects (e.g., does not trigger a render), validation behavior for out-of-range values, or whether it applies only to specific render engines.

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 extremely concise, consisting of three short sentences for purpose, argument, and return. It is front-loaded and contains no unnecessary words or repetition.

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 straightforward parameter-setting tool with one parameter and a return value, the description covers the essential aspects. It could optionally mention the render engine context or that it does not trigger a render, but it is sufficiently complete for its simplicity.

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?

With 0% schema description coverage, the description compensates by specifying the parameter's meaning ('Number of samples') and its valid range ('1-10000'), adding significant value beyond the plain integer type in the schema.

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 uses a specific verb 'Set' and resource 'render samples', clearly distinguishing it from siblings like set_render_resolution or render_image. It leaves no ambiguity about the tool's purpose.

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 a valid range (1-10000) for the samples parameter, giving some usage context. However, it does not compare with alternatives (e.g., render_image triggers a render) or indicate when not to use this tool, missing explicit guidance.

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