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RoboSelect360 - Humanoid Robot Intelligence

Robot profile (semiconductor coverage)

hardware_get_robot
Read-onlyIdempotent

Commercial profile of one robot (specs, pricing, viability score), plus whether a semiconductor teardown exists for it. The commercial fields are identical in all three get_robot variants - the layer flag is the only difference.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
robot_idYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare the tool read-only, idempotent, and non-destructive, so the description does not need to cover side effects. It usefully discloses output scope: specs, pricing, viability score, and a boolean-like teardown existence, plus consistency of commercial fields across variants.

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?

Two sentences, front-loaded with the primary output, and every sentence earns its place. The variant clarification is especially useful without adding bloat.

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 the low complexity, strong annotations, and lack of output schema, the description is complete enough: it identifies the exact resource, output categories, coverage layer, and relationship to sibling variants. An agent can confidently select and invoke this tool.

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 schema has only one self-explanatory required parameter, robot_id, with 0% description coverage. The description adds only that the tool targets 'one robot,' which helps but does not fully compensate for missing parameter details such as source or format of robot_id.

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 states a specific, concrete purpose: returning a commercial profile of one robot with specs, pricing, and viability score, plus whether a semiconductor teardown exists. It also distinguishes the three get_robot variants by mentioning that the commercial fields are identical and the layer flag is the only difference.

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

Usage Guidelines4/5

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

There is clear context: this tool is for the commercial profile plus semiconductor teardown existence, and the variant note explains that the three get_robot tools differ only by layer. It does not explicitly name sibling alternatives like mechanical_get_robot or software_get_robot, but the layer distinction provides enough guidance for tool selection.

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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TDQS

A3.7/5.0
Disambiguation3/5

The layer prefixes and action verbs make most tools clearly distinct, but the three list_robots variants return the same catalogue and the three get_robot variants share identical commercial fields, creating real selection ambiguity. The descriptive warnings like 'call one, not three' help but do not fully resolve the overlap.

Naming Consistency5/5

All 27 tools follow a uniform <layer>_<action>_<object> snake_case pattern with consistent verbs: get, list, compare. There are no mixed naming conventions or stylistic deviations.

Tool Count2/5

27 tools is above the comfortable range and is inflated by triplication: list_robots, get_robot, compare_robots, list_signals, and system_status are repeated across layers with only minor differences. A layer parameter could consolidate a large portion of the surface without losing functionality.

Completeness4/5

As a read-only intelligence platform, the set covers catalogue listing, comparison, robot profiles, BOM details, block analysis, dependency analysis, signals, and system health across hardware, mechanical, and software layers. The main gap is the lack of a consolidated multi-layer robot view, though agents can compose one from the three get_robot variants.

Resources