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nar-oah

Blender Pose MCP

by nar-oah

get_viewport

Retrieve structured pose data and fixed front, left, right, and back PNG views of the current armature pose.

Instructions

Return structured Pose data and fixed front/left/right/back PNG views.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully indicates that the tool returns structured data plus fixed PNG views, implying a read-only, deterministic operation, but it does not explicitly state that the tool has no side effects or clarify what the structured Pose data contains.

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 a single sentence with no filler. It is front-loaded with the action ('Return') and every clause adds specific, useful detail about the output contents.

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 parameterless getter with no output schema, the description is nearly complete: it names the two output categories and specifies the fixed camera directions. A more detailed pose schema would improve it, but the zero-parameter interface keeps the risk of incorrect invocation low.

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 parameters, so there is no parameter-semantic burden on the description. The baseline of 4 applies because no parameter documentation is needed.

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 uses a specific verb ('Return') and resource ('viewport'), and clearly enumerates two concrete outputs: structured Pose data and fixed front/left/right/back PNG views. This distinguishes it from pose-only or rig-related siblings, though no sibling is named explicitly.

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 guidance is given about when to use get_viewport versus related sibling tools such as get_pose or get_rig. The agent must infer the intended use case from the tool name and output description, with no when-to-use or when-not-to-use guidance provided.

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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