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AppScreenshoot MCP

by io.github.rico-c
OverviewDiscussionsAdmin

Get store screenshot specifications

get_screenshot_specs
Read-only

Look up current App Store and Google Play screenshot requirements: exact pixel sizes, accepted formats, minimum and maximum screenshot counts, transparency rules, and official Apple or Google sources. Filter by store or device type.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_screenshot_specs"
  }
}

Input Schema

NameRequiredDescriptionDefault
storeNoStore to look up. Omit to return both stores.
deviceNoDevice or asset type to filter by. Omit to return every target.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful context that the requirements are current and sourced officially, but it does not discuss caching, rate limits, or how the data is maintained.

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 two tightly written sentences with no filler. The core purpose is front-loaded, and the filtering behavior follows immediately.

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?

With no output schema, the description carries the burden of explaining return values, and it does so by naming the key requirement categories. It could go further by describing the shape of the returned data, but an agent has enough to call 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 description coverage is 100%, so both the 'store' and 'device' enums are already fully documented with their omit-behavior. The description's phrase 'Filter by store or device type' adds no meaning beyond the schema, making the baseline score 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 uses a specific verb, 'Look up,' and names the exact resource: App Store and Google Play screenshot requirements. It enumerates the returned content (pixel sizes, formats, counts, transparency rules, sources), making its purpose clearly distinct from the template-oriented siblings.

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 states that results can be filtered by store or device type, matching the two optional parameters. It does not name alternatives or exclusions, but this is a self-contained lookup tool with no similar sibling to disambiguate.

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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