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BlenderMCP

by Namikaze-bit
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poll_rodin_job_status

Monitor Hyper3D Rodin generation task completion status in Blender. Poll for job progress and determine when 3D model generation is finished or has failed.

Instructions

Check if the Hyper3D Rodin generation task is completed.

For Hyper3D Rodin mode MAIN_SITE: Parameters: - subscription_key: The subscription_key given in the generate model step.

Returns a list of status. The task is done if all status are "Done".
If "Failed" showed up, the generating process failed.
This is a polling API, so only proceed if the status are finally determined ("Done" or "Canceled").

For Hyper3D Rodin mode FAL_AI: Parameters: - request_id: The request_id given in the generate model step.

Returns the generation task status. The task is done if status is "COMPLETED".
The task is in progress if status is "IN_PROGRESS".
If status other than "COMPLETED", "IN_PROGRESS", "IN_QUEUE" showed up, the generating process might be failed.
This is a polling API, so only proceed if the status are finally determined ("COMPLETED" or some failed state).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscription_keyNo
request_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that this is a polling API, explains expected status values, final versus in-progress states, and failure conditions. It does not cover error handling or whether the call blocks, but it provides substantial behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well organized with mode sections and bulleted parameters. The purpose is front-loaded, and each status and guideline is relevant. Minor redundancy in the polling warnings is acceptable given the two-mode structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-mode polling tool with no output schema and no annotations, the description covers the main behavioral contract: statuses, final states, and mode-specific inputs. It does not explain how to determine which mode applies or how to handle API errors, but it is largely complete for normal usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has zero description coverage, so the description compensates by explaining that subscription_key belongs to MAIN_SITE and request_id belongs to FAL_AI, and that both come from a previous generate step. It could add format or requiredness details, but it gives enough meaning to choose the right parameter per mode.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a clear verb and resource: 'Check if the Hyper3D Rodin generation task is completed.' It also distinguishes the two Rodin modes, but does not explicitly differentiate this polling tool from the sibling get_hyper3d_status, so it stops short of a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives mode-specific instructions and explicitly states when to proceed based on final statuses ('Done', 'Canceled', 'COMPLETED', or failed states). It does not name alternative tools or when not to use this one, but the polling guidance is clear and actionable.

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

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