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highlight_body_regions

Highlight one or more body regions on the dashboard to draw attention to related structures, suggest potential pain areas, or visualize a kinematic chain.

Instructions

    Highlight one or more body regions in the dashboard's Body panel
    (shown amber). Use this to draw the athlete's attention to a chain
    of related structures, suggest "is this what hurts?", or visualize
    the kinematic chain you're reasoning about.

    Calling this REPLACES the previous highlight set (it is not
    additive). To wipe, pass an empty list or call clear_body_highlights.

    Args:
        regions: List of region IDs (use list_body_regions to discover
                 valid IDs). Invalid IDs are silently dropped.
        reason: Short caption explaining why these are highlighted —
                shown to the athlete in the panel (e.g.
                "checking IT band kinematic chain").

    Returns:
        Confirmation with the regions actually highlighted.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
regionsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Discloses that highlighting replaces previous set, invalid IDs are silently dropped, and returns confirmation. No annotations needed as description covers all relevant behaviors.

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?

Every sentence adds value. Front-loaded purpose and behavior, then parameters. No fluff, well-organized.

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?

Given simple tool with two parameters and output schema, description covers purpose, usage, behavior, parameter details, and return value. References sibling tools appropriately.

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

Parameters5/5

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

With 0% schema coverage, description fully explains both parameters: regions (list of IDs, discovery via list_body_regions, invalid IDs dropped) and reason (caption shown to athlete). Adds meaning beyond schema defaults and types.

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?

Clearly states it highlights body regions in the dashboard's Body panel, with specific use cases and distinction from siblings like clear_body_highlights and list_body_regions.

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?

Explicitly describes when to use (draw attention, suggest pain source, visualize kinematic chain) and how to clear (empty list or sibling tool). No ambiguity.

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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