set_particle_rendering

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

With no annotations provided, the description must fully convey behavioral traits. It only states the return type ('Confirmation dict') without detailing side effects, permissions, or error behavior. Key aspects like whether the tool modifies existing settings or adds new ones are implied but not explicitly stated, leaving gaps for an AI agent.

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, with only three sentences plus a structured args list. Every sentence adds value: the first states the purpose, the args explain parameters, and the last clarifies return type. 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?

Given the tool has 4 parameters and an output schema, the description adequately covers parameter semantics and return type. However, it lacks context such as error handling, dependencies, and example usage. For a tool of moderate complexity, it meets minimal completeness but leaves room for improvement.

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?

The description adds significant meaning beyond the input schema, which has 0% coverage. It explains each parameter's purpose, lists valid enum values for render_type, and clarifies conditional usage of instance_object and instance_collection. This compensates well for the schema's lack of descriptions, though additional constraints (e.g., object must have a particle system) are not mentioned.

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 purpose: 'Set rendering mode for an object's particle system.' This is a specific verb+resource combination. Among sibling tools, it is distinct from other setter tools like set_particle_velocity or set_physics_property, making its function unambiguous.

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 when-to-use or when-not-to-use guidance is given. The description implies usage context through its parameter list, but does not mention alternatives or prerequisites. This is acceptable for a straightforward setter tool but could be improved by indicating scenarios where other tools might be more appropriate.

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