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Aayushdubey101

Blender-MCP

blender_ping

Read-onlyIdempotent

Verifies Blender is running and the bridge addon is reachable. Run this initial check to confirm the integration is live before using other tools.

Instructions

Check whether Blender is running and the bridge addon is reachable.

Use this as the first step before any other tool to confirm the integration is live.

Returns: JSON with status and a message indicating reachability.

Example: blender_ping() → {"status": "success", "result": {"reachable": true}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so safety is covered. The description adds behavioral context by specifying the return format (JSON with status and message) and including an example output, which clarifies what the agent can expect. It does not go deeper into edge cases, but with strong annotation coverage, this is sufficient.

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

Conciseness4/5

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

The description is concise and front-loaded with the main purpose. It includes a returns section and a concrete example, which are useful but add a bit of length. Overall, every sentence earns its place, and the structure is clear and scannable.

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

Completeness5/5

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

For a simple ping/health-check tool with no parameters, the description is complete: it explains what the tool does, when to use it, and what the output looks like. The presence of an output schema and the provided example further support completeness. No gaps are evident for this level of complexity.

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 tool has zero parameters, so the schema is empty. The description correctly does not invent parameter details. Since there are no parameters to describe, the baseline of 4 applies, and the description appropriately focuses on the return value instead.

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

Purpose5/5

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

The description clearly states a specific verb and resource: 'Check whether Blender is running and the bridge addon is reachable.' This distinguishes it from sibling tools like blender_get_scene_info or blender_list_objects, which perform different actions. The purpose is unambiguous and immediately understood.

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

Usage Guidelines5/5

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

Explicit guidance is provided: 'Use this as the first step before any other tool to confirm the integration is live.' This tells the agent exactly when to invoke this tool, and no alternative is needed since it is a prerequisite check. This is strong usage guidance.

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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