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RoboSelect360 - Humanoid Robot Intelligence

Robot signals (mechanical)

mechanical_get_robot_signals
Read-onlyIdempotent

Active supply chain signals affecting one robot's mechanical BOM. Requires an access right on the robot requested.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
robot_idYes
include_globalNo

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already cover readOnly, idempotent, and non-destructive traits. The description adds context about 'active' signals and the access right requirement, but does not elaborate on behavior like empty results, pagination, or error conditions. This adds some value beyond annotations but is minimal.

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, concise sentence that front-loads the core purpose before adding the access requirement. Every word contributes, and there is no redundancy.

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 read-only tool with no output schema, the description covers the essential purpose and an access constraint. However, it leaves include_global unexplained and does not describe the return structure, making it only minimally adequate.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not mention include_global at all. It implicitly references robot_id via 'one robot' but lacks explicit parameter explanations, especially for include_global which is not self-evident.

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 what the tool returns: active supply chain signals affecting one robot's mechanical BOM. The scope is specific ('one robot', 'mechanical BOM'), distinguishing it from sibling tools like hardware_get_robot_signals or software_get_robot_signals.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., mechanical_list_signals or mechanical_get_robot). It mentions an access right requirement, but not the appropriate use case or exclusions.

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