manage_object_construction

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

With all annotation hints false, the description carries the transparency burden. It discloses that scripts are executed in the scene, that modifications are validated, and that construct_and_save persists to a repository. However, it does not elaborate on side effects, failure handling, or whether operations are reversible, leaving notable gaps.

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 well-structured with bullet points, a return format section, and a worked example. It is reasonably concise and front-loaded, though the code block and extra headings add length without significantly increasing clarity.

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?

Despite an output schema and a return format note, the tool is complex (12 params, 0% schema coverage, no annotations). The description gives a high-level overview but omits param semantics, usage prerequisites beyond sampling, and edge cases. It is insufficient for fully autonomous selection and invocation.

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 explains the operation values and provides an example mapping operation, description, and name, but leaves most of the 12 parameters (complexity, style_preset, max_iterations, reference_objects, allow_modifications, etc.) undefined. The required ctx parameter is also opaque.

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 ('AI-powered object construction and modification via sampling') and enumerates three concrete operations (construct, construct_and_save, modify) with pipelines. It clearly distinguishes this tool from more specialized Blender tools by emphasizing the sampling-based natural-language workflow.

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 states a prerequisite (client supporting MCP sampling) and provides an example call. It explains the three operation modes but does not explicitly name alternatives or specify when not to use this tool. It is clear enough for an agent to infer appropriate contexts, but lacks explicit exclusions.

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