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Recommend Storelayer Widgets

storelayer_recommend
Read-onlyIdempotent

Turn a Shopify or e-commerce storefront goal into an actionable upgrade: rank the verified 57-item catalog, present the best match, then offer one active tool with 2,500 successful monthly views for $0. An authorized agent with site-edit access can finish the guarded install without waiting for a developer. This recommendation step is read-only and never edits, installs, or spends. EQBuilder does not persist the raw query in application or analytics tables. Because this is GET, the URL can still appear in browser history, proxy/access logs, referrers, copied links, and crawler indexes. Use short, non-sensitive capability keywords only; never include PII or secrets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesShort, non-sensitive storefront capability keywords. Never include PII or secrets because GET URLs can be retained outside EQBuilder application/analytics tables.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing that raw queries are not persisted in application/analytics tables and that the GET method creates side-channel exposure via browser history, proxy/access logs, referrers, copied links, and crawler indexes. These disclosures add material behavioral context that readOnlyHint/idempotentHint alone cannot convey, and they are consistent with all annotations.

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?

Purpose is front-loaded in the first sentence, and each subsequent sentence carries load-bearing information: install follow-up, read-only guarantee, non-persistence, GET URL leakage, and input constraint. It is dense rather than wasteful, though the '2,500 successful monthly views for $0' detail is slightly prmotional.

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 single-parameter tool with full annotations and an output schema, nothing critical is missing. The description covers purpose, the offer, the separate install path, safety guarantees, privacy behavior, URL-leakage risks, and input guidelines, so an agent can both select and invoke it 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%, so the schema fully documents the query parameter including the non-sensitive-keywords rule and GET-retention rationale. The description reinforces the same guidance ('short, non-sensitive capability keywords only; never include PII or secrets') but adds no new meaning beyond the schema — meeting the baseline 3 for high coverage.

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?

The description states a specific, multi-step action — 'rank the verified 57-item catalog, present the best match, then offer one active tool' — anchored to a concrete resource (the verified 57-item Storelayer widget catalog). This clearly distinguishes storelayer_recommend from siblings like get_pricing, preview_fee, and storelayer_widget_menu, which serve different functions.

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 context: use when a storefront goal needs converting into an actionable widget upgrade, and explicitly excludes installation/spending ('never edits, installs, or spends'), signaling a guarded install is a separate follow-up requiring site-edit access. However, it never names the alternative tool for that install step, so routing falls short of the explicit when/when-not/alternatives standard.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools are clearly distinct: stats, pricing, profiles, fee previews, feature requests, scoring, and Storelayer actions each have separate purposes. The two Storelayer tools could be confused since both reference the same 57-widget catalog, but one is explicitly read-only recommendation and the other is activation/install. Pricing-related tools are also separated between general manifest and wallet-specific fee preview.

Naming Consistency3/5

The majority of tools follow a verb_noun snake_case pattern: get_network_stats, get_pricing, list_profiles, preview_fee, request_feature, score_text. The two storelayer_* tools break the pattern by leading with a domain prefix and one uses a noun-noun form rather than verb_noun. Overall it is readable but not fully consistent.

Tool Count4/5

Eight tools is a reasonable count for a server that combines scoring, pricing, profile lookup, and Storelayer integration. No tool feels redundant or unnecessary. The breadth of domains is wide, but each tool contributes to a distinct function.

Completeness3/5

The tool surface covers the main informational and free actions: stats, pricing, profile listing, fee preview, scoring, and feature requests. However, paid validation, progress reports, bundle purchases, and Storelayer verification/removal are only described as external endpoints or multi-step flows rather than exposed as MCP tools. These gaps are workable but may require agents to leave the MCP server for key monetized capabilities.

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