Skip to main content
Glama
Gearotons

servomotor-mcp

get_product_specs

Retrieve the update frequency and counts per rotation for a specified motor to confirm its configuration and performance specs.

Instructions

Get the update frequency (reciprocal of the time step) [Firmware command "Get product specs", group: Device Management.] Returns:

  • updateFrequency: Update frequency in Hz. This is how often the motor executes all calculations for hall sensor position, movement, PID loop, safety, etc.

  • countsPerRotation: Counts per rotation. When commanding the motor or when reading back position, this is the number of counts per one shaft rotation. motor: an alias number (e.g. 88), a 16-hex-digit unique ID (e.g. "0123456789ABCDEF"), or "all" to broadcast to every motor on the bus (broadcasts get no responses back).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
motorYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.3.1

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 full burden. It discloses that broadcasting to 'all' yields no responses, which is a useful behavioral caveat. However, it does not mention whether the tool is read-only, whether it requires a connection, or what happens on error. The description adds some value but leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise and front-loads the core purpose. The return field explanations are useful but slightly verbose; the 'motor' parameter explanation could be tightened. Overall, every sentence earns its place, though the structure is a bit dense.

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 one-parameter tool, the description covers the return values and parameter semantics well. However, with no output schema and no annotations, it lacks information about error behavior, connection requirements, and how the response is delivered. It is adequate but not fully complete for an agent to invoke it confidently in all contexts.

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?

Schema coverage is 0%, so the description must compensate. It does so by explaining the 'motor' parameter in detail: alias number, 16-hex-digit ID, or 'all' to broadcast, including the caveat that broadcasts get no responses. This is meaningful semantic information beyond the bare schema.

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 clearly states the tool retrieves update frequency and counts per rotation, with a specific verb ('Get') and resource ('product specs'). It distinguishes itself from siblings like get_product_info and get_product_description by specifying the exact return fields, though it doesn't explicitly name those siblings.

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 usage by explaining the motor parameter and broadcast behavior, but it does not explicitly state when to use this tool versus alternatives like get_product_info or get_product_description. The context is clear enough for an agent to infer the tool's purpose, but explicit routing guidance is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.