render.settings
Check the active render settings to ensure the scene is configured correctly for rendering.
Instructions
Report active render settings
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check the active render settings to ensure the scene is configured correctly for rendering.
Report active render settings
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states 'Report active render settings' without detailing what the report includes, side effects, or behavior like pagination or format. This is insufficient for an agent to predict tool behavior.
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 extremely short (3 words), which is concise but at the cost of missing important context. It is not wasteful but lacks sufficient detail.
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 absence of output schema and annotations, the description is too minimal. It does not specify what settings are reported (e.g., resolution, samples) or how the output is structured, leaving gaps for the agent.
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?
With zero parameters and 100% schema description coverage, the description adds no additional parameter meaning but also does not need to. Baseline score of 3 is appropriate.
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 ('Report') and the resource ('active render settings'), distinguishing it from siblings like render.set_settings and render.still.
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 explicit when-to-use or when-not-to-use guidance is provided. The simple nature of the tool implies it's for querying, but alternatives or context for better tool selection are not mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/OhaoTech/niua-blender-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server