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Antarum

Get a robot's profile

get_robot
Read-onlyIdempotent

Everything Antarum knows about one robot: price for the user's country with source and check date, what the price includes, status, specs, versions, why it is in the catalog, what bothers Antarum about it, how to buy it in that country (shops, or through Antarum), rental, comparisons and the Antarum page.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "robot": "<robot>"
    },
    "name": "get_robot"
  }
}

Input Schema

NameRequiredDescriptionDefault
robotYesAntarum id (e.g. "unitree-g1") or name (e.g. "Unitree G1").
countryNoISO 3166-1 alpha-2 code of the user's country.
languageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by disclosing that prices carry a source and check date and that results include editorial caveats ('what bothers Antarum about it'). However, it says nothing about behavior for an unknown robot id, whether missing country data degrades the response, or rate/authentication constraints.

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?

A single front-loaded sentence with a colon-delimited inventory — dense but efficient, and the key framing ('Everything Antarum knows about one robot') comes first. The list is long and slightly laundry-list in feel, but each item names a distinct part of the payload rather than padding.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of describing returns and does so thoroughly, which is exactly what an agent needs before calling. The remaining gap is failure and edge-case behavior (unknown robot, missing country pricing), which matters for a lookup keyed on a free-form identifier.

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?

Schema coverage is 67%, so the baseline is 3. The description does add meaning for 'country' by tying it to localized pricing and buying options ('price for the user's country', 'how to buy it in that country'), but it never addresses the 'language' enum or clarifies id-vs-name handling for 'robot', both of which the schema only partly covers.

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 opens with a specific verb and resource ('Everything Antarum knows about one robot') and then enumerates the returned facets — price with source and check date, specs, versions, buying channels, rental, comparisons. This clearly distinguishes it from search_robots and compare_robots, which operate on sets, though the siblings are never named explicitly.

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?

There is no when-to-use or when-not-to-use language. The agent must infer from the required 'robot' parameter that this is the follow-up call after search_robots, and nothing says when compare_robots or find_rental would be preferable for the same robot.

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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