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Get Public Product Content

get_public_product_content
Read-onlyIdempotent

Use this when you need the complete published public content for one search result's stable slug and content kind.

Input Schema

NameRequiredDescriptionDefault
kindYesPublished content kind paired with the stable slug.
slugYesStable public slug returned by search_public_product_content.

Output Schema

NameRequiredDescriptionDefault
itemYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is fully covered. The description adds only one real signal — that this returns the *complete* content rather than the snippet a search would yield — but says nothing about behavior when a slug is unpublished or missing, caching, or response size.

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?

A single front-loaded sentence with the condition first and the resource second; no filler, no restating of the title.

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?

With only two fully-documented required parameters, rich annotations, and an output schema describing return values, the description covers what an agent needs to select and call the tool. The remaining gap — error/not-found behavior and the search-to-fetch workflow being only implied — is minor at this complexity.

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?

Schema coverage is 100% and the enum of content kinds is documented inline, so the schema carries the load. The description adds marginal value by indicating the slug is 'stable' and originates from a search result, which hints at where to source the value, but no format or matching nuances beyond that.

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 ('complete published public content') scoped to a single item identified by slug and content kind. The retrieval verb is implicit rather than stated, but combined with the tool name an agent can tell it apart from search_public_product_content (search vs. fetch-by-slug).

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?

'Use this when you need the complete published public content for one search result' gives a clear usage trigger and, via 'one search result', implies the follow-up relationship to the search tool. It stops short of explicitly naming search_public_product_content as the prerequisite or stating when not to use it.

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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