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polls.karbach.digital

get_fuel_prices

Petrol (Euro-super 95) and diesel prices in all EU countries per week (EU Weekly Oil Bulletin), with and without taxes, EU average, Germany versus EU, rank, weekly series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weeksNo
countriesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it discloses nothing about behavior: no auth or licensing note for the EU Weekly Oil Bulletin source, no statement of what the default 52-week window means, no return shape or units (EUR/litre?), and no caching or rate-limit context. It only describes the subject matter.

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 dense sentence with no filler, front-loading the resource and source. The comma-separated fragment list ('rank, weekly series') is slightly breathless but every clause carries scope information.

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?

With no output schema, no annotations, and undocumented parameters, the description partially compensates by enumerating the data fields returned (tax-inclusive vs exclusive, EU average, rank). However it says nothing about parameter behavior, response structure, or units, so an agent cannot call it confidently.

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 neither of the two parameters (weeks, countries) is explained. The phrases 'all EU countries' and 'per week' faintly imply the parameters exist, but there is no indication of how to format country codes, whether null means all countries, or what the weeks window controls.

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 a specific resource (petrol Euro-super 95 and diesel prices), its scope (all EU countries), cadence (per week, EU Weekly Oil Bulletin), and content dimensions (with/without taxes, EU average, Germany vs EU, rank, weekly series). It is a content enumeration rather than a verb-led statement, and it does not distinguish itself from the overlapping sibling get_europe_energy_prices or get_gas_storage, which keeps it short of a 5.

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 guidance, and no alternative is named. Given siblings such as get_europe_energy_prices, get_gas_storage, and compare_eu_countries that plausibly overlap, the agent is left to guess which tool answers a fuel-price question.

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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