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TEHET

get_fuel_prices

Read-only

Average fuel prices with source attribution and dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regionNoeurope
countryCodeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only that results carry source attribution and dates; it says nothing about freshness, geographic coverage rules, or whether values are per-litre vs per-gallon.

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

Conciseness3/5

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

A single short sentence fragment with no filler, so it is lean and the resource is front-loaded. But the brevity is under-specification rather than efficiency — several agent-relevant facts are simply absent.

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

Completeness2/5

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

With two undocumented parameters, no output schema, and an ambiguous relationship between region and countryCode, the definition leaves the agent guessing about valid input combinations. For a data-retrieval tool with an enum plus a pattern-constrained code, the description should at minimum explain how the two filters combine.

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% for two parameters (region enum europe/ukraine, countryCode pattern ^[A-Z]{2}$), and the description does not mention either. It neither explains the region/countryCode interaction nor clarifies which one takes precedence, so it fails to compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource and the content returned (average fuel prices, source attribution, dates), so the agent knows roughly what it gets. However, there is no verb and no differentiation from sibling price tools such as get_green_card_price or get_oscpv_price, leaving the scope ambiguous against close alternatives.

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 guidance, no prerequisites, and no mention of which sibling to prefer for a given price query. The agent must infer usage purely from the name and the sibling list.

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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