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Glama

get_product

Get full details for a single product by ID. Returns complete technical specifications including specs.description (full prose spec text with processor, RAM, storage, display, ports etc), pricing, stock level, delivery time, and all retailer offers with per-retailer pricing. Accepts both canonical product IDs and original retailer offer IDs. Use this after search_products to get detailed specs for comparison or recommendations. Always call this when a user needs precise product attributes, compatibility info, side-by-side comparisons, or price comparison across retailers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesThe unique product ID from search results

TDQS

A4.5/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. Lists return contents comprehensively: technical specifications, pricing, stock level, delivery time, retailer offers. Also mentions parameter flexibility (accepts both canonical product IDs and retailer offer IDs). Missing statement about read-only nature or idempotency, but adequate for a retrieval tool.

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?

Three sentences, front-loaded with purpose and output, then details, then usage guidance. No unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple retrieval tool with one parameter and no output schema, the description provides comprehensive information: purpose, return contents, parameter flexibility, and usage workflow. Nothing essential missing.

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?

Single parameter product_id is fully covered by schema (100% coverage). Description adds value by noting that it accepts both canonical product IDs and original retailer offer IDs, which is not in schema description.

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?

Clear verb 'get' and resource 'full details for a single product by ID'. Distinct from sibling search_products by specifying it returns detailed specs for comparison.

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?

Explicitly states 'Use this after search_products' and 'Always call this when a user needs precise product attributes, compatibility info, side-by-side comparisons, or price comparison.' Provides clear usage context, though lacks explicit 'when not to use' statement.

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

A4.5/5.0
Disambiguation5/5

The two tools serve distinctly different purposes: search_products handles discovery and filtering across the catalog, while get_product retrieves detailed specifications for a specific item. No functional overlap exists.

Naming Consistency5/5

Both tools follow an identical snake_case verb_noun pattern (search_products, get_product) with clear, action-oriented verbs that consistently describe their operations.

Tool Count3/5

At 2 tools, the set is borderline thin for an electronics comparison domain. While it covers basic search and retrieval, it lacks supporting operations like spec-based filtering, comparison helpers, or category browsing that would typically accompany such a service.

Completeness3/5

Basic read operations are present, but notable gaps exist for the electronics domain: no server-side filtering by technical specifications (e.g., RAM, storage) forces inefficient client-side filtering, and there are no tools for price tracking, alerts, or direct comparison operations.

Resources