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Shopify SEO Expert: Digital Darts

Look up page SEO

get_page_seo
Read-onlyIdempotent

Look up a storefront URL (product/collection/page/blog/article) and return the matched resource's SEO fields plus its open audit issues and store-level issues. Use the returned resource id with update_meta_tags.

Input Schema

NameRequiredDescriptionDefault
urlYesFull storefront URL, e.g. https://example.com/products/foo

Output Schema

NameRequiredDescriptionDefault
issuesYes
matchedYesWhether the URL mapped to a synced resource
resourceYes
lastAuditAtNo
storeIssuesYesStore-level issues (no single page)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered before the description is read. The description adds that both resource-level audit issues and store-level issues are bundled into the result, which is useful behavioral context, but since an output schema exists that information is largely duplicative.

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, zero padding, and the operation is front-loaded before the downstream chaining hint. Every clause carries 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?

Return values are covered by the output schema and the safety profile by annotations, so the description only needs to frame purpose and chaining, which it does. The one unaddressed edge is behavior when the URL matches no resource, which the agent must infer.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With one parameter at 100% schema description coverage (including a concrete example URL), the schema already carries the baseline. The description adds real meaning by constraining the URL to storefront resource types, telling the agent what kinds of paths will actually match.

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 ('look up') and resource ('storefront URL') and enumerates the accepted resource types (product/collection/page/blog/article), plus what comes back (SEO fields, open audit issues, store-level issues). It does not explicitly distinguish itself from nearby siblings like get_resource or get_seo_summary, so it falls just short of a 5.

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 clear operative context by naming the follow-up workflow: 'Use the returned resource id with update_meta_tags.' It does not state when this lookup should be chosen over get_resource, inspect_url, or get_seo_summary, and there are no exclusions, so no 5.

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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