Skip to main content
Glama
clivejefferies

mobile-debug-mcp

capture_debug_snapshot

Capture a structured debug snapshot of mobile app state with raw observations and optional semantic layer, returning JSON with snapshot revision and loading state.

Instructions

Capture a complete debug snapshot (raw observation layer plus optional derived semantic layer). Returns structured JSON with snapshot_revision, captured_at_ms, snapshot_delta, and loading_state when detectable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdNoOptional appId to scope logs (package/bundle id)
reasonNoOptional reason for snapshot
deviceIdNoOptional device serial/udid
logLinesNoMaximum number of log lines to include
platformNoOptional platform override
sessionIdNoOptional log stream session id to prefer
includeLogsNoWhether to include logs
Behavior2/5

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

No annotations exist, so description must carry the burden. It mentions output fields but does not disclose side effects, auth needs, or whether it is read-only. Some behavior is implied but insufficient.

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 efficient sentences, front-loaded with action and output format. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for an all-optional parameter tool with no required inputs, but lacks usage guidelines and detailed behavioral context. Could be improved with when-to-use advice or clarification of 'derived semantic layer'.

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 descriptions for all 7 parameters. The tool description adds no additional parameter meaning, so baseline score of 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 captures a complete debug snapshot with raw and optional derived layers, and lists specific return fields. This distinguishes it from siblings like get_logs or capture_screenshot.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like start_log_stream or get_ui_tree. The description lacks context for decision-making.

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/clivejefferies/mobile-debug-tools'

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