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Brand profile

get_brand_info
Read-onlyIdempotent

A brand's Drop Beacon profile: page link, official website, whether it is a maker or a retailer, its in-stock product count and any public discount code.

Input Schema

NameRequiredDescriptionDefault
brandYesBrand name, e.g. "Spyderco".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds real value by enumerating the returned fields, which matters because there is no output schema; it does not, however, say what happens when the brand is unknown or unmatched.

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?

One compact sentence with the resource stated first and the payload listed after; nothing is padded. It is a sentence fragment rather than a full clause, but that costs no clarity here.

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 single-parameter read tool with full annotation coverage, the description supplies the one thing structured fields do not: the shape of the return value. Only the not-found / no-match behavior is left unstated, which is a minor gap for this complexity.

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 single parameter already documents its type, length bounds, and an example ('Spyderco'), so the schema carries the burden. The description adds no matching semantics such as whether the name must be exact, a prefix, or fuzzy.

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 the specific resource (a brand's Drop Beacon profile) and enumerates the fields returned: page link, website, maker/retailer classification, in-stock product count, and public discount code. The verb is only implied by the tool name ('get'), but the resource and payload are unambiguous enough that an agent can distinguish it from deal/offer/product siblings.

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 — the agent must infer that this is a per-brand lookup used when you already have a brand name, rather than a discovery tool. No alternatives are named and no exclusions given, despite siblings like search_products and find_offers that could plausibly overlap.

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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