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Trailberg — Activewear, Tracksuits & Footwear

Product details

product_details

App-only normalized data lookup for one Trailberg product.

Input Schema

NameRequiredDescriptionDefault
queryNo
selectedNo
product_idNo
track_actionNo
buyer_contextNo
source_surfaceNoproduct_detail

Output Schema

NameRequiredDescriptionDefault
typeNoproduct_detail_result
storeYes
messageYes
productYes
selectedNo
sizeGuideNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
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 burden and discloses almost nothing. It does not state that this is a read-only lookup, does not mention that track_action defaults to true (implying a side effect), and says nothing about permissions, caching, or what happens when product_id is omitted.

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?

The single sentence is front-loaded and free of filler, so it is concise in the literal sense. However, brevity here comes at the cost of substance: the sentence is too short for a six-parameter tool with no annotations rather than efficiently dense.

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 described, but everything else is missing: six undocumented parameters, no annotations, and an undisclosed tracking side effect. For a tool of this parameter complexity, the definition is not complete enough for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across six parameters, and the description adds no meaning for any of them. Terms like "selected", "buyer_context", "source_surface", and "track_action" are entirely opaque, leaving the agent unable to construct a correct call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource (one Trailberg product) and an operation (data lookup), so an agent can tell it retrieves product data rather than mutating a cart. But "normalized data" and "app-only" are unexplained jargon, and nothing distinguishes it from siblings such as render_product_detail or complete_look_product_details, which appear to cover the same resource.

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 mention of any alternative tool. With four or five siblings operating on products, the agent is left to guess whether this is the data-fetching counterpart to a render tool or a duplicate of it.

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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