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Glama
VenticinqueMauro

Shopify Insights MCP

get_fulfillment_metrics

Break down fulfillment status, financial status, and average order value for any period to evaluate operational health and spot issues.

Instructions

Get operational metrics: fulfillment status breakdown, financial status distribution, average order value by status, and operational health indicators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodYesTime period to analyze
endDateNoEnd date — only required when period is "custom"
startDateNoStart date — only required when period is "custom"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It signals a safe read-only aggregation through 'Get' and enumerates computed metrics, but it does not mention permissions, date-range semantics, or aggregation details. This is adequate but thin for a tool with zero annotation coverage.

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?

The description is a single front-loaded sentence, starting with the core action and resource and then providing a compact enumeration of metric categories. Every phrase earns its place with no filler or redundancy.

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?

The tool is simple and its parameters are fully described in the schema, but there is no output schema and no annotation context. The description lists return categories but omits when to prefer this tool over sibling metrics tools and does not clarify the return structure beyond high-level categories. Adequate for a straightforward call, but several contextual gaps remain.

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?

The input schema already documents all three parameters with 100% coverage, so the baseline is 3. The description adds no parameter-specific meaning beyond mentioning metrics that relate to status, and there is no schema gap requiring compensation.

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 clearly identifies a read operation for operational metrics and itemizes what it returns: fulfillment status, financial status, average order value by status, and health indicators. It does not explicitly contrast with sibling sales/revenue tools, leaving some overlap ambiguity, so it is clear but not fully differentiated.

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?

No guidance is given about when to use this tool instead of get_sales_summary, get_revenue_breakdown, or other siblings. The description only states what the tool returns, leaving the agent to infer the triggering scenario. This is effectively no usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.