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nanion.com (Vaia)

produkt

Read-onlyIdempotent

Technical data of one product (feature → value) from its data sheet, with source.

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": {
      "name": "<name>"
    },
    "name": "produkt"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesProduct name or slug from “produkte”

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description usefully adds the return content (feature/value pairs plus a source citation), which matters because no output schema exists. It stays silent on behavior an agent would care about, such as what happens when the product is unknown or whether all features are always returned.

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?

One sentence, front-loaded with the resource and followed by the return shape. No filler, though the phrasing is compressed to the point of being slightly telegraphic.

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?

This is a simple, low-complexity single-parameter read tool with full annotation coverage, and the description covers both what goes in and what comes out. The only real omission is error/not-found behavior, which is minor at this complexity level.

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 description coverage is 100% and the single parameter is documented there, including the 'name or slug from produkte' provenance. The description adds no further meaning about accepted formats, fuzzy matching, or ambiguity handling, so the baseline of 3 applies.

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 names the specific resource (one product's technical data sheet) and the shape of what it returns (feature → value, with source). That is enough to distinguish it from the list-oriented sibling 'produkte', though it never names the alternative explicitly.

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?

Usage is only implied: fetch this when you need the detail of a single product rather than a listing or a comparison. The only routing signal is indirect, via the parameter text pointing at 'produkte' as the source of the name/slug. There is no explicit when-not-to-use or statement about which sibling handles comparisons.

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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