blend-ai

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states this is a creation operation but doesn't mention permissions, side effects (e.g., if it modifies existing modifiers), error conditions, or performance implications. This is inadequate for a mutation tool with zero annotation coverage.

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 front-loaded with the core purpose in the first sentence, followed by structured sections for args and returns. Each sentence earns its place by providing essential information without redundancy, making it efficient and well-organized.

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 moderate complexity (2 parameters, mutation operation) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers the purpose and parameters but lacks behavioral details like error handling or prerequisites, which would be beneficial for a creation tool.

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 meaningful context for both parameters: 'object_name' specifies it's the target object, and 'name' clarifies it's for the modifier with a default value. With 0% schema description coverage, this compensates well by explaining what each parameter represents, though it doesn't detail constraints like valid object names.

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 action ('Create a Geometry Nodes modifier') and the target ('on an object'), which is specific and actionable. However, it doesn't explicitly differentiate from sibling tools like 'add_modifier' or 'add_geometry_node', which appear to be related operations in the same domain.

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 guidance is provided on when to use this tool versus alternatives. The description lacks context about prerequisites (e.g., whether the object must exist), exclusions, or comparisons to sibling tools like 'add_modifier' or 'connect_geometry_nodes', leaving the agent to infer usage scenarios.

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