blend-ai

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

With no annotations provided, the description carries full burden. It mentions the image must exist on disk (a useful constraint) but doesn't disclose other behavioral traits like whether this modifies the material in-place, requires specific permissions, or has side effects on existing nodes. For a mutation tool with zero annotation coverage, this is insufficient.

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 efficiently structured with a purpose statement followed by parameter explanations and return info. Every sentence earns its place, and it's front-loaded with the core functionality. No wasted words.

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 (3 parameters, mutation operation), no annotations, but with an output schema (implied by 'Returns: Confirmation dict.'), the description is reasonably complete. It covers purpose, parameters, and output, though could better address behavioral transparency for a mutation 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?

Schema description coverage is 0%, so the description must compensate. It provides clear semantic meaning for all three parameters: material_name identifies the target, image_path specifies the source file with an existence constraint, and label gives the node's default name. This adds significant value beyond the bare 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 clearly states the specific action ('Add an image texture node to a material') and the precise effect ('connect it to the Principled BSDF Base Color'), distinguishing it from sibling tools like 'create_material' or 'set_material_color'. It uses concrete verbs and resources without being tautological.

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 implies usage when adding a texture to a material's base color, but doesn't explicitly state when to use this versus alternatives like 'set_material_color' or 'create_principled_material'. No exclusions or prerequisites are mentioned beyond the image path requirement.

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