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Nexscope Ecommerce Data MCP

Amazon Category Lookup

nexscope_amazon_category_lookup

Supports exact parent-node browsing and label-based category search.

Input Schema

NameRequiredDescriptionDefault
tableNoOptional upstream category table selector.
nodeIdNoParent category node identifier.
marketIdNoAmazon marketplace or site identifier.
nodeLabelNoCategory label required by operation=like.
operationNolookup (default) or like.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations (readOnlyHint=false, openWorldHint=true) already frame the safety/open-world profile, and the description adds nothing beyond them: no note on marketplace scoping, result shape (flat list vs tree), pagination, or whether an unknown label/nodeId errors. Notably, the 'browsing/search' framing reads as a pure read while readOnlyHint is false, leaving the mutation profile genuinely ambiguous.

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 front-loaded sentence with no filler. It is efficient, though its brevity is closer to under-specification than true conciseness for a tool with five parameters and no output schema.

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

Completeness3/5

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

For an open-world lookup with no output schema and five optional parameters, the description leaves the agent guessing about what comes back (category hierarchy vs flat label list) and about which parameter combinations are valid. The schema covers inputs, but the description does not close the outcome-side gap.

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% with all five parameters documented (including the operation=like/nodeLabel dependency), so the schema carries the parameter burden. The description only echoes the mode mapping and says nothing about the 'table' selector or nodeId semantics beyond what the schema already states.

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 resource (Amazon category/parent-node data) and distinguishes the two modes it supports: exact parent-node browsing and label-based search, which map to operation=lookup and operation=like. It is clear what the tool does, though it never contrasts itself with adjacent category/market tools in the sibling list.

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 two described modes ('exact parent-node browsing' vs 'label-based category search'); the description never says when to choose one over the other, nor any prerequisites (e.g. needing a known nodeId vs a label). No alternatives or exclusions are named.

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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