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Nexscope Ecommerce Data MCP

Amazon Policy Feed

nexscope_amazon_policy_feed

Query Amazon is latest policy, regulation, and compliance feed. Supports paginated browsing by marketplace and time range (with AI-generated Chinese summaries), and fetching full article body by record ID. Trigger when users mention Amazon policies & regulations, seller compliance announcements, platform rule changes, policy alerts, FBA/fee policy updates, multi-marketplace policy tracking, policy original text, news details, or similar terms. Even if the user does not explicitly mention "policy feed," trigger this skill whenever the request involves Amazon is officially published policies, regulations, and news for sellers, including their full text.

Input Schema

NameRequiredDescriptionDefault
idNo32-character news record ID from data[].id. Required for the detail endpoint; omit for the list endpoint.
pageNoPage number, starting from 1.
siteNoAmazon marketplace code in uppercase; defaults to US. Site filtering applies only to some news types.
pageSizeNoItems per page, range 1-100.
publishedAtGteNoInclusive publication or change time lower bound, yyyy-MM-dd HH:mm:ss; defaults to seven days before the request.
publishedAtLteNoInclusive publication or change time upper bound, yyyy-MM-dd HH:mm:ss; defaults to the request time.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

The description usefully discloses that list results carry AI-generated Chinese summaries, which the agent cannot infer from the schema. However, it describes a pure query/fetch operation while annotations declare readOnlyHint=false, so an annotations-aware agent gets a contradictory safety signal. Default 7-day window and site-filter scoping are already in the schema, not new here.

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 first sentence is front-loaded with the core capability, but the trigger paragraph is a bloated keyword list that repeats itself ('Even if the user does not explicitly mention "policy feed"...' restates the earlier triggers) and contains garbled phrases like 'Query Amazon is latest policy'. It could be cut to a fraction of its length without losing 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?

With six optional parameters, no output schema, and no required fields, the description covers both operating modes, pagination intent, marketplace scoping, and that summaries are machine-generated Chinese. It does not say what a default (no-arg) call returns or how the list and detail payloads differ, but nothing essential for correct invocation is missing.

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 every parameter is documented there, so the baseline applies. The description's only added semantic is the list-vs-detail split on `id`, which the schema already states ('Required for the detail endpoint; omit for the list endpoint'). No further meaning about site, pageSize, or time-bound interactions is contributed.

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?

Names a specific verb and resource: query Amazon's policy/regulation/compliance feed, with two modes (paginated list by marketplace/time range, and full article body by record ID). One ambiguity remains: the description claims it fetches full article bodies, yet a dedicated sibling (nexscope_data_amazon_policy_feed_detail) exists, so the agent cannot tell from the text which one to use for detail retrieval.

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

Usage Guidelines4/5

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

Gives an unusually explicit trigger list (policy alerts, FBA/fee updates, multi-marketplace tracking, original text, etc.), including the fallback case where the user never says 'policy feed'. It stops short of any when-not guidance or naming the detail-feed sibling as the alternative for full-text fetches.

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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