conversational_blender_assistant

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

With no annotations, the description carries full burden. It discloses multi-step sampling, probing capabilities, and graceful fallback, which are useful. However, it does not explain side effects, latency implications, or whether the tool modifies state.

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 with two sentences. The first sentence introduces purpose and method, and the second adds behavior. It could be more front-loaded with a clear action verb, but it's efficient.

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 presence of an output schema and 100% schema coverage, the description is partially complete. It lacks explanation of output format, interaction with other tools, and example usage. The SEP-1577 reference is cryptic.

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 coverage is 100%, so parameters are well-defined. The description adds context about multi-step sampling relating to max_steps, but does not expand on context_level enums. Overall, limited added value beyond 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 identifies the tool as a conversational Blender assistant with multi-step sampling, distinguishing it from specific operation tools. However, it lacks a clear verb-resource structure (e.g., 'answers Blender queries') and could be more explicit about its general-purpose role.

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 the tool is for general Blender queries, mentioning probing capabilities and graceful fallback, but it provides no explicit when-to-use or when-not-to-use guidance. It does not reference sibling tools or alternatives.

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