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Search Apps

sonar_app_search
Read-only

Search apps in the App Store or Google Play by keyword. Returns ranked list of apps with metadata (results are returned in store ranking order). Works without an API key (free tier, limited daily use per IP).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numNoNumber of results to return (1-50, default 10).
queryYesSearch query (e.g. "meditation", "meal planner").
storeYesApp store. "ios" for Apple App Store, "android" for Google Play.
countryNoISO 3166-1 alpha-2 country code (e.g. "us", "gb", "de"). Default "us".us

TDQS

A3.8/5.0
Behavior4/5

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

The description adds significant behavioral context beyond annotations: it confirms non-destructive read-only search (aligning with readOnlyHint), reveals that results are returned in store ranking order, and transparently states the free tier has limited daily use per IP. This provides concrete operational information an agent needs. No contradiction with annotations.

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?

The description is exceptionally concise: three sentences with zero waste. The first sentence states the core action, the second adds a key behavioral detail (ranking order), and the third provides important operational constraint (free tier limits). Perfectly front-loaded and every sentence earns its place.

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 search tool with no output schema and good schema coverage, the description is complete enough. It covers supported stores, result ordering, and rate-limiting context. It misses mentioning what the output looks like (e.g., includes app IDs, icons, etc.), but since the output format is implied by 'metadata' and agents can infer from context, this is acceptable. With sibling tools, it could note alternatives for detailed app info (like sonar_app_lookup), but not required for completeness.

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?

The input schema covers all 4 parameters with individual descriptions (100% coverage). The description adds minimal extra meaning: it mentions the store parameter conceptually ('App Store or Google Play') and provides an example keyword, but this largely echoes the schema. Given full schema coverage, a baseline of 3 is appropriate for not going beyond.

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?

The description clearly states the verb 'Search apps' with the specific resource 'App Store or Google Play by keyword'. It distinguishes itself from sibling tools by focusing on search across stores, which is unique among the listed siblings that target specific apps, screenshots, keywords, or analytics. However, it could be clearer about how it differs from 'sonar_keyword_search' and 'sonar_keyword_suggestions', but overall it's specific and functional.

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

Usage Guidelines3/5

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

The description implies usage for general app discovery by keyword. It mentions results are in store ranking order, which hints at when to use it (for standard ranking). However, it provides no explicit guidance on when not to use it or alternatives among the many sibling tools (e.g., for detailed analytics, competitor analysis, or lookup of a specific app). The context about free tier and daily limits is operational but not comparative.

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

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct action or data aspect within the ASO domain. Keyword-related tools are clearly separated by purpose (tracked keywords vs. research vs. suggestions vs. metrics), and competitive tools differentiate between reading landscape and generating new analysis. No two tools have overlapping functionality that would confuse an agent.

Naming Consistency3/5

Naming is a mix of verb-first (e.g., sonar_add_screenshot, sonar_create_product) and noun-first patterns (e.g., sonar_app_keywords, sonar_competitor_landscape). While all use snake_case and the 'sonar_' prefix is consistent, the lack of a uniform verb_noun structure makes it harder to predict tool names. The pattern is readable but inconsistent.

Tool Count2/5

With 47 tools, the server is over-scoped for a typical MCP server. Although the ASO domain is broad, many tools are granular (e.g., 10 screenshot tools, 10 keyword tools). This quantity exceeds the 25+ threshold for 'too many' as defined in the calibration, making it heavy for an agent to navigate comprehensively.

Completeness5/5

The tool surface covers the full ASO lifecycle: app discovery, keyword research, tracking and ranking, competitor analysis, revenue estimation, screenshot creation and export, alerts, and product management. There are no obvious gaps—every necessary operation for monitoring and optimizing app store presence is present, including both read and write actions.