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Amazon Seller MCP Server — AgentXray

Your applied changes and their verdicts

get_my_changes
Read-onlyIdempotent

Changes applied through AgentXray and where each stands in its proof: the 14-day net-contribution verdict, or status 'measuring' when the window has not matured; amazon_state says where Amazon stands on each (sent / amazon_processing / verified / problem) — Amazon accepting a change is not the change being live; plus waiting_for_approval, the drafts not yet approved, and journal: every draft, rejection (with the seller's reason) and Amazon outcome in order, with open_measurements — read it before drafting more, never re-propose what was rejected. Use before claiming a past change worked.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_my_changes"
  }
}

Input Schema

NameRequiredDescriptionDefault
skuNoOnly this SKU's history (journal and changes).
limitNoHow many recent changes (default 40, max 100).
since_daysNoHow far back the journal reads (default 60, max 365).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With readOnlyHint/idempotentHint already declaring the safety profile, the description adds substantive domain behavior: the 14-day net-contribution window, the 'measuring' immaturity state, enumerated amazon_state values, and the explicit warning that 'Amazon accepting a change is not the change being live.' That last clause is real semantic value not present in any structured field. It stops short of discussing pagination or volume, and with no output schema the return shape is described only in prose fragments.

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 scoping claim is front-loaded, which is good, but the body is a single run-on sentence stitched with em-dashes and semicolons that enumerates response fields inline. Given there is no output schema, the content is largely earning its place, yet it would read far better as a short purpose line plus separate notes on verdicts, states, and the journal.

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?

No output schema exists, so the description carries the burden of explaining returns and does so: verdict timing, amazon_state values, waiting_for_approval, journal with rejection reasons, and open_measurements. For a zero-required-parameter read tool with full annotation coverage, this is close to complete; only the relationship to the change-related siblings is unaddressed.

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 all three parameters are already documented in the schema, so the baseline is 3. The description adds no syntax, format, or interaction detail for sku, limit, or since_days — notably it does not say how since_days interacts with the 14-day verdict window or how limit affects the journal versus the changes list.

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 opening states a specific resource and scope: 'Changes applied through AgentXray and where each stands in its proof,' and enumerates the verdict concepts (14-day net-contribution, 'measuring'). An agent knows this returns applied-change history plus outcomes. It never names the closely related siblings (did_my_changes_work, get_change_scorecard), so the boundary with those is left for the agent to infer.

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 concrete usage direction: 'read it before drafting more, never re-propose what was rejected' and 'Use before claiming a past change worked.' That covers the primary when-to-use case. It stops short of saying when to prefer did_my_changes_work or get_change_scorecard instead, which matters given three overlapping change-related siblings.

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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