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brand_products

Fetch products for a specific brand with prices, sorting, and pagination controls to browse a Migros catalogue.

Instructions

Products of a brand, priced and paginated.

Input Schema

NameRequiredDescriptionDefault
slugYes
sortNo
limitNo
offsetNo
directionNoasc

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses only that results are "priced and paginated" — it says nothing about auth requirements, default/max page sizes, ordering semantics, or whether an unknown brand slug errors or returns an empty list. "/paginated" hints at limit/offset but leaves the pagination contract opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Seven words with no filler and the scope front-loaded, so it is efficient, but it is under-specified rather than concise: a single fragment cannot carry the omissive parameter and behavioral detail an agent needs. Structure is acceptable; content density is too low.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, but for a 5-parameter, zero-coverage, zero-annotation tool the description leaves too much to inference — slug format, sort/direction semantics, and pagination bounds are all missing. Comparable siblings like category_products and label_products receive the same treatment, which suggests a family-wide gap rather than a deliberate minimalism.

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% across 5 parameters, including the required `slug` whose format (brand slug vs. numeric id) is never stated. The description's "priced and paginated" loosely gestures at limit/offset, but says nothing about `sort`, `direction` (asc default, which field it applies to), or the default limit of 12.

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?

"Products of a brand" names a specific resource with a clear scope (brand), which an agent can distinguish from the generic search_products or category_products siblings. It is a noun fragment rather than a verb+resource statement, and it never explicitly names the alternatives it differs from.

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 and no reference to alternatives such as search_products, category_products, label_products, or brand_detail, all of which plausibly overlap. The only implied usage signal is the word "brand", which the agent must infer means a brand slug input.

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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