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Nature's Wild Berry

Where to buy

where_to_buy
Read-onlyIdempotent

Consumer marketplaces that sell Nature's Wild Berry, each with its link, plus our own store, whether we are in physical stores, how orders are placed and where prices are shown. Read-only.

Input Schema

NameRequiredDescriptionDefault

No arguments

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

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the trailing 'Read-only' is redundant rather than additive. The description does add content scope (that results include links, physical-store status, ordering and pricing info), but says nothing about data freshness, auth, or limits beyond what annotations provide.

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 sentence is appropriately sized for a parameterless lookup tool and front-loads the core subject. The enumeration ('each with its link, plus our own store, whether we are in physical stores, how orders are placed and where prices are shown') is slightly run-on but every clause maps to a distinct piece of returned information.

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?

For a no-param, no-output-schema lookup, the description usefully enumerates what the response covers, which compensates for the absent output schema. It is complete enough to call correctly; only the routing versus sibling tools remains unstated.

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 tool takes zero parameters, so the schema baseline of 4 applies. There is nothing for the description to disambiguate on the input side.

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 clearly identifies the resource: consumer marketplaces plus the brand's own store, what to expect (links, physical-store presence, ordering, price display). It reads as a noun-phrase content list rather than a verb+resource statement, and it never names a sibling to distinguish itself from the near-colliding wholesale_and_foodservice tool, though 'Consumer marketplaces' implicitly contrasts with wholesale.

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

Usage Guidelines3/5

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

Usage is only implied by the name and content list; there is no explicit when-to-use, no when-not-to-use, and no alternative named. An agent can reasonably infer this is the lookup for retail purchase options, but nothing in the text routes it against get_products, wholesale_and_foodservice, or how_to_use.

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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