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Get Ridgerunner product details

get_product_details
Read-onlyIdempotent

Get full details for one Ridgerunner outdoor gear product (hunting, fishing, camping, hiking, apparel and more): description, images, price range, size/color options, availability and the link to buy. Accepts a product slug or a ridgerunner.com product URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesProduct slug (from search results) or full ridgerunner.com/en/product/... URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so safety is covered. The description adds value by detailing the response fields (description, images, price range, etc.) and the input flexibility, which goes beyond the annotations. No contradictions found.

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?

The description is a single, dense sentence that front-loads the core purpose and then lists the specific data fields. It avoids redundancy with the schema and is efficient, though it could be slightly more concise by trimming 'and more'.

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 single-parameter read-only tool, the description covers the main aspects: what it does, the input format, and the return fields. There's no output schema, so the description's mention of the fields helps agents understand the result. It could note that the URL must be from ridgerunner.com, but this is implied by the domain in the description.

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 schema already documents the 'product' parameter thoroughly, including the format (slug or URL) and constraints, with 100% coverage. The description reinforces this by repeating the format but adds no new meaning beyond what the schema provides, so a baseline of 3 is appropriate.

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?

The description clearly states it retrieves full details for one product, enumerates the fields (description, images, price range, etc.), and specifies the accepted input formats (slug or URL). It is distinct from siblings like search_products or compare_products, which operate on multiple products.

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 implies it is for a single product lookup, given the focus on 'one' product and the input being a slug or URL. It doesn't explicitly state when not to use it or mention the alternative search_products for finding products, but the context is clear enough for an agent to infer the primary use case.

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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