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FeedShine: Shopify Google Shopping Feed

Get the optimization playbook

get_optimization_guide
Read-onlyIdempotent

The app's feed optimization playbook. Without section, lists every section with its summary and current affected count so you can pick where to start. With a section id (issues, titles, descriptions, images, identifiers, categories, price-availability, details, bundles, shipping, campaigns), the full guide: rules, checklist, examples, and which attributes to change. Read the relevant guide BEFORE proposing changes to any feed attribute it covers.

Input Schema

NameRequiredDescriptionDefault
sectionNoOmit for the section overview, or pass one section id for its full playbook

Output Schema

NameRequiredDescriptionDefault
noteNoPlain-language result or next step, safe to read out to the merchant.
guideNoThe full playbook for the requested section
sectionsNoEvery section with its summary and affected count
issueGroupsNoItem-level issue codes, on the issues section
fieldWideFixNoWhen to prefer one mapping over per-product overrides
accountIssuesNoAccount-level issues, on the issues section
affectedCountNoProducts the requested section currently flags
totalProductsNoProducts in the feed the counts were taken against
countsIssueRowsNoOnly on the issues section: affectedCount counts issue rows, not products. list_section_products and optimize_next count sample products
mappableAttributesNoAttributes in this section that a mapping rule can fix catalog-wide
searchDataAvailableNoFalse when Search Console data has not been synced, so title advice is generic

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds genuinely useful behavior: the overview mode returns per-section summaries and current affected counts, and the detailed mode returns rules, checklist, examples, and target attributes. It stops short of describing any pagination or limits, but for a static reference tool that is minor.

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?

Three sentences, front-loaded with the two-mode behavior, then the payload contents, then the actionable instruction. 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?

Given a zero-required single-enum parameter, an existing output schema, and full annotation coverage, the description supplies everything an agent needs: mode selection, payload expectations, and the pre-change reading requirement.

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?

Schema coverage is 100% and the enum is fully documented, so the baseline is 3. The description goes beyond the schema by explaining the semantic consequence of omitting the parameter versus passing one, which tells the agent how the mode switches. The enumerated section ids largely duplicate the enum, adding little extra.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('the app's feed optimization playbook') and clearly delineates the two operating modes. It is readily distinguishable from siblings like get_feed or optimize_next.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells the agent what omitting the section does ('so you can pick where to start') and gives a hard directive: 'Read the relevant guide BEFORE proposing changes to any feed attribute it covers.' This is a clear when-to-use rule with a sequencing constraint.

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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