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product_offers

Hämta ALLA butikers priser för en enskild produkt (billigast + i lager först). Ta product_slug från search_products-länkarna (.../produkt/).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_slugYesProduktens slug, t.ex. "tcl-tcl-65-tv-lcd-4k-65t69c-..."

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It goes beyond a generic statement by specifying scope (ALL stores), sorting (cheapest first), and the stock filter (in stock first). While it doesn't mention response format, pagination, or auth, it gives enough behavioral context for a simple read-only fetch.

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

Conciseness5/5

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

The description is extremely concise: one sentence with the core behavior and one short instruction for obtaining the parameter. Every sentence earns its place, and the key information is front-loaded.

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 simple one-parameter tool, the description covers the essential behavior, sorting logic, and parameter source. The only notable gap is the lack of explicit detail about the output structure, but given the tool's low complexity and self-explanatory purpose, this is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining where to obtain the product_slug (from search_products links) and providing a URL pattern, which is not present in the schema. This helps the agent construct the parameter correctly.

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

Purpose5/5

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

Description uses a specific verb 'Hämta' (fetch) and clearly states the resource: ALL stores' prices for a single product. It also includes the sorting behavior (cheapest + in stock first), which distinguishes it from sibling tools like compare_pair or price_spread.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear usage context: use this tool for a single product's offers across all stores that are in stock, cheapest first. It also instructs the agent to take the product_slug from search_products links, which is helpful routing guidance. It does not explicitly mention when not to use it or name alternative tools.

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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