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ghost-in-the-droid

ghost-in-the-droid

Official

run_action

Execute a specific action on an Android or iPhone device. Provide device, skill, and action to perform tasks like opening apps or searching, with optional parameters.

Instructions

Run a single skill action on the device.

Call list_skills() first to see available actions.

Examples: run_action("SERIAL", "tiktok", "open_app", '{}') run_action("SERIAL", "tiktok", "type_and_search", '{"query": "cats"}')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skillYes
actionYes
deviceYes
paramsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

There are no annotations, so the description bears full responsibility for disclosing behavioral traits. It only mentions calling list_skills first, but does not disclose potential side effects, permissions required, or how errors are handled. Since the tool can execute arbitrary skill actions, the agent is left without warnings about possible destructive effects.

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 brief and front-loaded: the purpose is stated in the first sentence, followed by a necessary prerequisite and two illustrative examples. No unnecessary words; every sentence earns its place.

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

Completeness2/5

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

While an output schema exists, the description misses critical contextual information for such a powerful tool. It does not explain how to discover valid parameters for each action (beyond list_skills), how to format complex params, or any caveats about state changes. The agent would likely need to rely on trial and error.

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 0%, but the examples illustrate the argument order (device, skill, action, params) and that params is a JSON string. However, it does not define what a skill or action is, nor does it explain the meaning of 'device' or the params format beyond the examples.

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 starts with 'Run a single skill action on the device,' which clearly states the verb ('run') and resource ('skill action'). The word 'single' differentiates it from sibling tools like run_workflow or run_flow, which likely execute sequences of actions.

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 says 'Call list_skills() first to see available actions,' which is an explicit prerequisite for using the tool. However, it does not mention alternatives or situations where this tool should not be used, such as when a workflow would be more appropriate.

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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