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Produkt-Details abrufen

produkt_details

Liefert den vollständigen Datensatz-Eintrag eines Produkts (alle Attribute, Preismodell, Bezugsquellen, Quelle, Felddefinitionen) inklusive Lizenz- und Zitierinformationen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datensatzYesDatensatz-ID, z. B. "poolroboter".
produkt_idYesProdukt-ID aus den Suchergebnissen, z. B. "zodiac-voyager-re-4400-iq".

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?

With no annotations, the description must carry the behavioral burden. It usefully discloses what the response contains ('alle Attribute, Preismodell, Bezugsquellen, Quelle, Felddefinitionen') including license and citation info, and 'Liefert' implies a read-only operation. However, it does not explicitly state read-only status, authentication needs, rate limits, or side effects.

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 that leads with the core purpose and then enumerates the returned contents. There is no filler or redundancy, though the parenthetical inventory makes it slightly dense.

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?

For a two-parameter read tool with no output schema, the description adequately explains the return contents, which is the main gap an output schema would otherwise fill. The main omission is sibling differentiation and usage context, which is covered (or not) elsewhere.

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 description adds no meaning for the two parameters, but schema description coverage is 100% and both parameters (datensatz, produkt_id) are documented with examples in the schema. Baseline 3 applies when the schema fully documents inputs.

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?

States a specific verb ('Liefert') and resource ('vollständigen Datensatz-Eintrag eines Produkts') and enumerates the contents returned (attributes, pricing model, sources, license/citation). It is clear what the tool does, but it does not explicitly differentiate itself from siblings like produkte_suchen or preis_verlauf.

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 produkte_suchen, preis_verlauf, or datensaetze_auflisten. It does not state prerequisites or alternative conditions, leaving usage inference entirely to the agent.

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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