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Nature's Wild Berry

Products

get_products
Read-onlyIdempotent

Live product names, prices, crossed-out prices as the store shows them, each variant_id, whether a Subscribe and Save plan is available, a product link and a Shopify checkout link, plus customer reviews that passed review screening. Read-only.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional words to filter product names, for example 'refill' or 'travel jar'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the trailing 'Read-only.' sentence earns no credit. The one genuinely additive behavioral detail is that returned reviews 'passed review screening,' which tells the agent the review data is pre-filtered/curated rather than raw.

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?

A single dense sentence front-loads the returned payload, followed by a short redundant tag. The field list is efficient and information-dense, but 'Read-only.' duplicates the annotation block rather than earning its place.

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 thoroughly, so an agent knows what a call yields. It is weaker on usage context and never explains the query filter's role, which keeps it short of complete for a discovery tool with several overlapping siblings.

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 description coverage is 100% for the single 'query' parameter, so the schema already explains the filtering behavior and the maxLength constraint. The description adds nothing about the query parameter, which is acceptable at full coverage but not value-adding.

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?

The description names a specific resource (products) and enumerates exactly what is returned: live names, prices, crossed-out prices, variant_id, Subscribe and Save availability, product link, checkout link, and screened reviews. That makes the tool identifiable, though the verb is implicit and it never contrasts itself with siblings like recommend_product or where_to_buy.

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?

There is no when-to-use guidance, no prerequisites, and no alternatives named. With siblings such as recommend_product, where_to_buy and build_cart in scope, an agent gets no signal about which of them to pick for a product-data need versus a recommendation or purchase flow.

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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