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adb_screenshot_diff

Compare current Android screen against a saved baseline screenshot, reporting pixel difference count, percentage, and changed region. Tolerance threshold absorbs minor dynamic elements like clocks or badges.

Instructions

Compare the current screen against a saved screenshot baseline. Decodes PNGs and performs pixel-level comparison (RGB channels), reporting exact pixel difference count, percentage, and the bounding box of the changed region. Supports a tolerance threshold for absorbing minor dynamic elements like clocks or notification badges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baselineYesBaseline name to compare against (from adb_screenshot_baseline)
tolerancePercentNoPixel difference percentage threshold below which the result reports IDENTICAL. 0 = exact match required. 1-2 absorbs clock/status bar changes.
deviceNoDevice serial
result_handleNoOptional. If provided, store this tool's result under `result://<tool>/<name>` for retrieval after compaction. Name must be 1-32 chars, [a-zA-Z0-9_-]. Existing handles with the same tool+name are overwritten. Use adb_result_list to see active handles, adb_result_get or the MCP Resource URI to retrieve.
result_handle_ttlNoOptional. TTL in seconds for the result handle (60 to 604800). Default 43200 (12 hours). Ignored if result_handle is not provided.
Behavior4/5

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

With no annotations provided, the description carries the full burden. It transparently describes the algorithm (RGB channels, pixel count, percentage, bounding box) and the tolerance threshold. It does not disclose side effects, but the tool is inherently read-only and non-destructive.

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 sentences long, front-loaded with the core purpose, and contains no unnecessary words. It efficiently conveys all essential information.

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?

Although there is no output schema, the description explains what is returned (difference count, percentage, bounding box). Behavioral details like idempotency are not covered, but for a comparison tool, the description is sufficiently complete.

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%, so the baseline is 3. The description adds minimal extra meaning beyond the schema; it mentions tolerance for absorbing dynamic elements, but that's already captured in the parameter description. No significant new context is provided.

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 it compares the current screen against a saved baseline, performing pixel-level comparison and reporting metrics. It distinguishes from sibling tools like adb_screenshot_baseline (which saves) and adb_screencap (which captures the screen).

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 explains when to use the tool (compare screen) and mentions the tolerance parameter for handling minor dynamic elements. However, it does not explicitly state when not to use it or suggest alternative tools for specific scenarios.

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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