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Shopify Change Intelligence

shopify_intel_report

PAID ($0.50 USDC on Base via x402). The highest-value tool: a full-catalog competitor intelligence report with price bands, median/range, biggest discounts & hikes, stock signals and auto-generated executive takeaways you can put straight into a briefing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
storeYesShopify domain, e.g. allbirds.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does well on the critical trait: it discloses the tool is PAID ($0.50 USDC on Base via x402), which is exactly the kind of gating/cost signal an agent needs before invoking. It also sketches the output scope ('full-catalog'). It stops short of failure/refund behavior or rate limits, but the payment disclosure is the important one.

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

Conciseness5/5

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

Two sentences, front-loaded with the cost constraint before the value proposition. Every clause earns its place by either pricing the call or enumerating deliverables; no filler.

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

Completeness5/5

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

For a one-parameter tool with no annotations and no output schema, the description compensates well: it lists what the report contains, which substitutes for a return-value spec, and it flags the payment requirement. An agent has enough to decide and invoke correctly.

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 there is a single parameter whose schema description already gives the format ('Shopify domain, e.g. allbirds.com'). The description adds nothing about the store input, so the schema does the heavy lifting; baseline 3 is appropriate.

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?

States a specific verb+resource: generating a full-catalog competitor intelligence report, and enumerates its contents (price bands, median/range, discounts/hikes, stock signals, takeaways). It hints at being the premium option versus siblings ('highest-value tool') but never names which sibling to use instead, so differentiation is implied rather than explicit.

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?

Implied usage only: 'you can put straight into a briefing' signals a comprehensive report use case, and calling it the 'highest-value tool' nudges toward selection. There is no explicit when-to-use vs. when-to-choose-a-sibling (shopify_snapshot, shopify_landscape) guidance or any exclusions.

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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