Skip to main content
Glama
skiffer

AppNiche MCP Server

by skiffer

Get iOS app reviews

get_app_reviews
Read-onlyIdempotent

Fetch enriched App Store reviews with sentiment and topic signals for any iOS app to analyze user feedback and identify key issues.

Instructions

Fetch enriched App Store review rows with sentiment and topic signals for one iOS app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoReviews to return; default 20.
storeNo
store_idYesApple numeric store ID, for example 284882215.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds that results include sentiment and topic signals, but does not elaborate on pagination, rate limits, or other behavioral traits beyond 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?

A single, front-loaded sentence that efficiently conveys the tool's purpose without wasted words.

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?

Tool is read-only with good annotations and sibling context. However, absence of output schema means the description should ideally hint at return structure; it mentions 'rows' with sentiment/topics but lacks specifics, which is a minor gap.

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 67% with descriptions for limit and store_id. The description adds minimal value beyond the schema, only implying the app is identified by store_id. No additional context for parameters like limit or store.

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 verb 'Fetch' and the resource 'App Store review rows with sentiment and topic signals'. It distinguishes from sibling tools like get_app_detail (which returns app metadata) and get_keyword_difficulty (which deals with keywords).

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 fetching reviews of a single iOS app but does not explicitly state when to use this tool versus alternatives like get_app_detail or search_apps. Lacks when-not-to-use guidance.

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/skiffer/appniche-mcp-server'

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