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dopamine - the shop AI agents can buy from

get_product

Get details of one product by id (from search_products).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It conveys that this is a read operation, but it does not explain error handling, authentication requirements, or the exact return structure. The 'from search_products' constraint adds some behavioral context.

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 a single, focused sentence with the action and resource front-loaded, containing no extraneous words.

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?

Despite lacking an output schema, the tool is simple with one parameter, and the description provides the essential context (source of the id). The absence of return type details is a minor gap; overall, it is complete enough for a get-by-id tool.

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?

The sole parameter 'id' gains meaning from the description: 'from search_products' indicates the id must originate from that tool, which is valuable beyond the bare schema. It doesn't provide format examples, so not a 5, but it compensates for the 0% schema coverage.

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 uses a specific verb ('Get') and resource ('product') with a qualifier ('by id'), clearly distinguishing it from siblings like search_products (which lists) and buy (which purchases).

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 parenthetical '(from search_products)' implies the tool is intended as a follow-up to search_products, providing contextual usage guidance. However, it does not explicitly state when not to use it or mention 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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool handles a distinct step in a simulated shopping flow: search, view, purchase, and tracking. No overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (search_products, get_product, buy, track_order).

Tool Count5/5

Four tools is well-scoped for a parody shop, covering the essential operations without excess or deficiency.

Completeness5/5

The set provides a complete loop for the simulated experience: discovery, details, purchase, and tracking. No obvious gaps for its intended purpose.

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