Skip to main content
Glama

search_apps

Search over 17,000 Shopify apps by name or developer to find app slug, rating, and categories. Resolve an app name to its slug for subsequent queries.

Instructions

Search the Shopify App Store dataset (17k+ apps) by app name, developer name, or slug. Returns matching apps with rating, review count, and categories. Use this first to resolve an app name to its slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesApp or developer name to search for
limitNoMax results (default 20)
Behavior3/5

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

No annotations are provided, so the description carries full weight. It describes the dataset size and return fields, but lacks disclosure of potential behaviors like rate limits, pagination, or error handling. For a simple search, this is adequate but not rich.

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, no wasted words. First sentence states purpose and scope, second provides actionable guidance. Perfectly concise.

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?

For a simple search tool with no output schema, the description covers the action, returned data, and usage context. It lacks details about response format or no-result handling, but is mostly complete given the tool's simplicity and the presence of sibling tools that provide further detail.

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%, with both parameters already described in the input schema. The description adds context about return fields but does not enhance parameter meaning. Baseline 3 is appropriate.

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 clearly states the tool searches the Shopify App Store by app name, developer name, or slug, and specifies the returned fields (rating, review count, categories). It also distinguishes itself by indicating its role in resolving app names to slugs, which differentiates it from siblings like get_app that require a slug.

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?

The description explicitly says 'Use this first to resolve an app name to its slug,' providing clear guidance on when to use this tool before others. It does not mention when not to use or list alternatives, but the directive is strong enough for a 4.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/seven-hills-software/partnerlens-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server