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rahulkr
by rahulkr

get_cpu_info

Retrieve CPU usage data from Android devices to monitor performance and identify resource bottlenecks during development and testing.

Instructions

Get CPU usage information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_serialNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The main handler function for the 'get_cpu_info' tool. It executes 'adb shell top -n 1 -b' to retrieve CPU usage information for the specified device. The @mcp.tool() decorator also serves as the registration mechanism in FastMCP.
    @mcp.tool()
    def get_cpu_info(device_serial: str | None = None) -> str:
        """Get CPU usage information"""
        return run_adb(["shell", "top", "-n", "1", "-b"], device_serial)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Get CPU usage information' implies a read-only operation but doesn't specify whether it requires device access, returns real-time or historical data, has rate limits, or what format the output takes. This leaves significant behavioral gaps for an agent.

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 a single, efficient sentence with no wasted words, making it easy to parse. It's appropriately sized for a simple tool and front-loads the core purpose immediately.

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?

Given the tool's low complexity (one optional parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and poor parameter documentation, it lacks context about device dependencies or behavioral constraints, leaving room for improvement.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one parameter (device_serial) with 0% schema description coverage, and the description adds no information about parameters. It doesn't explain what device_serial is, when it's required, or how it affects the CPU info retrieval, failing to compensate for the schema's lack of documentation.

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 'Get CPU usage information' clearly states the verb ('Get') and resource ('CPU usage information'), making the purpose immediately understandable. It distinguishes itself from sibling tools like get_memory_info or get_gpu_info by specifying CPU usage, though it doesn't explicitly contrast with them.

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?

The description provides no guidance on when to use this tool versus alternatives like get_device_info or get_frame_stats, nor does it mention any prerequisites or context for usage. It simply states what the tool does without indicating appropriate 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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