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find_objects_by_type

List all objects in the Blender scene that match a specific type, such as MESH, CURVE, or CAMERA.

Instructions

List all objects in the scene that match the given type.

Parameters:

  • obj_type: Blender object type: MESH, CURVE, CAMERA, LIGHT, EMPTY, ARMATURE, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
obj_typeNoMESH

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.5.5

TDQS

B3.2/5.0
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It fails to state that this is a read-only operation, nor does it describe any side effects or requirements like permissions. 'List' implies no mutations, but this is not explicitly stated.

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 extremely concise with no fluff. It front-loads the purpose in the first sentence and then explains the parameter. Every word adds value for a single-parameter tool.

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

Completeness3/5

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

For a simple tool with one parameter and no output schema/annotations, the description covers the basic action and parameter. However, it lacks explanation of the output format (what does 'list' return?), leaving some uncertainty for an AI agent.

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?

Schema description coverage is 0%, but the description adds meaningful parameter semantics by listing example Blender object types (MESH, CURVE, etc.) and indicating the expected values. This helps the agent understand valid inputs, though the list could be more exhaustive.

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 clearly states the tool lists objects by type, using specific verb 'List' and resource 'objects in the scene'. It is distinguishable from siblings like 'select_objects' or 'get_object_info', but could be more explicit about the output format.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description implies usage for filtering objects by type, but does not mention when not to use or provide comparisons to sibling tools.

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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