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get_product

Retrieve product specs by SKU for shopping agents, supporting read-only product detail lookup in a mock commerce backend.

Instructions

Product detail by sku, incl. specs. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden, and it does disclose the single most important trait for an agent ('Read-only'), which is genuinely useful here. Beyond that it says nothing about behavior for an unknown SKU, auth requirements, or rate limits, so the disclosure is thin relative to the unannotated baseline.

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?

Extremely compact and front-loaded: the resource and key come first, the scope hint second, the safety trait last. The telegraphic style costs nothing in clarity.

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

Completeness3/5

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

For a one-parameter lookup with no output schema, the description is minimally adequate, and 'incl. specs' hints at the return shape. It falls short on usage routing and on what happens when the SKU is not found.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'by sku' but adds no meaning beyond restating the parameter name already present in the schema, leaving format/validation expectations (case sensitivity, exactness, partial matches) unstated.

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?

States a specific verb+resource (fetch product detail), the lookup key (sku), and even the scope of the payload ('incl. specs'). It does not, however, differentiate itself from the sibling search_products, which an agent must disambiguate on its own.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance and no routing to alternatives. The presence of search_products as a sibling makes the omission consequential: nothing tells the agent to use this for exact-SKU lookup versus search for discovery.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.