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Product price history and call

get_product
Read-onlyIdempotent

Full detail for one product by slug: community sentiment, reference price and basis, date of the latest price observation, portafilter size (machines) or accessory size (sized accessories), superautomatic / manual-lever / hand-grinder flags, product URL and Amazon link. A known product with no price returns price null, the reason, and priced alternatives. An unknown slug returns did_you_mean.

Input Schema

NameRequiredDescriptionDefault
slugYesA slug from search_catalog (products or known_unpriced).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / slug / description
      Previous value: -"A slug from search_catalog."New value: +"A slug from search_catalog (products or known_unpriced)."
  2. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld=false, so the safety profile is covered. The description adds real behavioral value by disclosing edge cases: a known product with no price returns price null plus the reason and priced alternatives, and an unknown slug returns did_you_mean.

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?

Two dense but well-formed sentences, front-loaded with the primary purpose and followed by error semantics. No filler, though the field list is somewhat terse.

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 no output schema, the description carries the return-value burden and does so by enumerating returned fields and both error paths. The only meaningful gap is missing sibling/alternative routing, which an agent would otherwise have to infer.

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 slug field is fully documented in the schema as coming from search_catalog. The description only restates 'by slug' without adding format or syntax detail, so the baseline 3 applies.

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 (full detail for one product by slug) and enumerates the exact fields returned, so the agent knows precisely what it gets. It does not, however, explicitly differentiate itself from siblings like search_catalog or watch_price, so it stops short of a 5.

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?

The description contains no when-to-use, when-not-to-use, or alternative routing guidance; it never tells the agent to prefer search_catalog for discovery or watch_price for monitoring. Usage is only implied by the field enumeration.

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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