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get_product

Read-onlyIdempotent

Get full details for a single product by UUID: description, images, merchant, ratings (avg_rating/review_count), commission_rate_pct, commission_cents (at the base/lowest price) AND commission_cents_range {min,max} (commission at the cheapest vs. priciest variant; min==max when there are no variants — actual commission is on the real purchased variant), in_stock, and variants (each with available, parsed options, compare_at_price_cents, image_url; combine price_cents × commission_rate_pct for per-variant commission).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesProduct UUID

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish this as a read-only, idempotent, non-destructive operation, and the description adds meaningful nuance about commission semantics, variant behavior, and the actual vs. range-based commission. It goes beyond the annotations by explaining edge cases like min==max when there are no variants, which is useful for correctly interpreting the response.

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 starts with the core purpose and then densely packs necessary response-field detail. It is not particularly compact, but given the complexity of the returned structure and the lack of an output schema, each segment earns its place. The layout uses separators effectively to organize related concepts.

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 read-only lookup with one required parameter and no output schema, this description does a thorough job of explaining what the agent will receive and how to interpret ambiguous commission values. It explains variants, per-variant commissions, and edge-case behavior, but does not cover possible failure modes or response envelope details. Overall, it is sufficient for correct invocation.

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 only parameter, product_id, is already described as 'Product UUID' in the schema. The description merely repeats that it operates 'by UUID' without adding additional format, validation, or usage details, so the baseline score 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 the tool's specific purpose: getting full details for a single product by UUID. It lists the exact resources and fields returned, and the 'single product by UUID' framing distinguishes it from siblings like find_products. No ambiguity remains about what this tool does.

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 clearly conveys that this tool is appropriate when you already have a product UUID and need full details for one product, implying it is not for searching or finding multiple products. However, it does not explicitly name alternatives or state when not to use it, so it stops short of a 5.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools clearly target distinct resources and actions, but there is some overlap: get_profile and get_my_earnings both expose balance/cap information, and list_my_profiles could be confused with get_profile. The descriptions are generally clear enough to avoid serious misselection.

Naming Consistency5/5

Every tool name follows a consistent snake_case verb_noun pattern: get_product, list_campaigns, submit_post, update_profile, etc. The verbs match the intended actions, and there are no mixed naming conventions or vague style deviations.

Tool Count4/5

Twenty tools is slightly heavy, but the count is reasonable for the scope: the server covers products, campaigns, posts, earnings, profiles, notifications, asset uploads, and AI tool usage/reviews. Each tool serves a recognizable purpose, so the size feels like breadth rather than redundancy.

Completeness3/5

Core workflows are present—search products, get campaigns, apply, generate tracking links, submit posts, view earnings, manage notifications—but there are notable gaps. There is no way to list past posts or retrieve a post_id except from submit_post, no list of campaign applications, and no tool discovery endpoint for the AI tool slugs used by declare_tool_usage and write_tool_review.