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PolarisHub

Math-MCP

by PolarisHub

bone_hierarchy_to_world

Resolves bone hierarchies by converting local transforms to world matrices and positions, detecting missing parents and cycles.

Instructions

Resolves a complete bone hierarchy from local transforms to world matrices and world positions; detects missing parents and cycles

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bonesYes
Behavior3/5

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

With no annotations, the description carries full burden. It discloses detection of missing parents and cycles, but does not mention return format, side effects, or performance constraints.

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, well-structured sentence that efficiently conveys the core functionality and two key behaviors (detection of missing parents and cycles) without extraneous content.

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?

Given the complexity of a bone hierarchy transformation and the absence of an output schema, the description lacks details on return values (world matrices/positions) and handling of detected issues, leaving some gaps for agent interpretation.

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

Parameters3/5

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

The single parameter 'bones' has no description in the schema (0% coverage), and the tool description does not add semantic value beyond what the nested schema details provide, so baseline score of 3 applies.

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 the verb 'resolves', the resource 'complete bone hierarchy', and the transformation from local transforms to world matrices/positions, distinguishing it from single-bone tools like 'bone_local_to_world'.

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

Usage Guidelines3/5

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

The description implies use for hierarchy-wide transformation but does not explicitly specify when to use this tool over siblings or mention any prerequisites or limitations.

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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