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get_shopify_analytics

Read-only

Get Shopify store analytics including traffic, sales, and product performance data.

Input Schema

NameRequiredDescriptionDefault
detailNoOutput verbosity: "concise" (default) trims long lists to top-25 and caps size; "detailed" returns the full result.
site_idYesThe site ID
end_dateNoEnd date (YYYY-MM-DD)
start_dateNoStart date (YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds only that returned data spans traffic, sales, and product performance — a useful but vague hint about output content, with no mention of date-range defaults or depth behavior beyond the schema's detail field.

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 efficient sentence, front-loaded with the verb and resource. It is not padded, though for a tool with four parameters and no output schema it may be under-specified rather than genuinely concise.

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

Completeness2/5

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 what is returned, yet it only lists broad domains without any shape, granularity, or date-range behavior. An agent cannot tell what the response looks like or whether start/end dates default to a window.

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%, so all four parameters (site_id, start_date, end_date, detail) are documented in the schema, including the concise/detailed enum-like behavior. The description adds nothing about parameter usage, so the 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 ('Get Shopify store analytics') and enumerates three data domains (traffic, sales, product performance). It does not differentiate from siblings such as get_ga_metrics, get_site_stats, get_traffic_sources, or get_shopify_products, which an agent could easily confuse with this.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. The many sibling analytics tools (get_ga_metrics, get_gsc_metrics, get_site_stats, get_shopify_products) make routing ambiguous without explicit discrimination.

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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