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Brainy Prices — UAE Cost of Living

ministry_shop_prices

Read-onlyIdempotent

MOET-published Dubai shop prices. category: bread or chain_id/product_id. Not online offers.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "ministry_shop_prices"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNo
sortNoname
cursorNo
categoryNo
chain_idNo
page_sizeNo
product_idNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedOutput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changed
    • removedInput schema / $schema
      Removed value: -"https://json-schema.org/draft/2020-12/schema"
  3. Added

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds provenance (ministry-published, i.e. authoritative official data) and a scope boundary, which is genuinely useful context. It says nothing about result volume, pagination behavior via cursor/page_size, or freshness of price data.

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?

It is short and front-loads the data source, with zero padding. But the second sentence is telegraphic to the point of ambiguity — 'category: bread or chain_id/product_id' reads as a syntax fragment rather than a clear statement of allowed filter combinations.

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?

An output schema exists, so return values need no explanation. For a 7-parameter, enum-heavy, paginated tool with 0% schema description coverage, however, the description leaves search, sorting, and paging semantics entirely unexplained and misrepresents the category enum as a single value.

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% across 7 parameters, so the description must compensate and it covers only category, chain_id and product_id. It omits q, sort, cursor and page_size entirely, leaving pagination and free-text search undocumented. Worse, it says 'category: bread' while the enum contains eight categories, which understates the actual capability.

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?

It names the resource and publisher ('MOET-published Dubai shop prices'), which is more specific than a restated name. But it never distinguishes itself from close siblings like grocery_products or shopper_price_reports, so an agent cannot tell from the description alone which of these price sources to call. 'Not online offers' is a scope hint, not a differentiation statement.

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?

The fragment 'category: bread or chain_id/product_id' implies mutually exclusive filtering modes, and 'Not online offers' functions as an exclusion. However, no alternative tool is named for when the agent actually wants online/retail prices or comparative grocery data, so the routing decision is left to inference.

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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