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SnowLuma
by SnowLuma

Load Persistent Script

load_script

Load a persistent Frida script to collect data over time with hooks or RPC. Afterwards, use call_rpc to invoke functions or get_script_output to check logs.

Instructions

Load a persistent background Frida script. Use this to set up hooks that collect data over time or long-running RPC exports. Afterwards, use call_rpc to invoke functions or get_script_output to check logs. If this fails because the process is detached/crashed, call the attach tool again and retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesUnique identifier for this script (e.g. 'my_hooks')
sourceYesFrida JS code. Use `send(data)` to emit logs, or `rpc.exports = { ... }` block for RPC.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses persistence and failure scenario but does not explicitly mention side effects like overwriting existing scripts or lifecycle details.

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 concise sentences with no redundancy. Front-loaded with purpose, immediately followed by usage guidance.

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?

Covers purpose, usage flow, and failure recovery. Does not specify return value or synchronous behavior, but these are not critical for a load operation.

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

Parameters4/5

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

Schema descriptions cover both parameters. Description adds value by explaining 'name' as unique identifier and 'source' as Frida JS code with send() and rpc.exports patterns.

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?

Clearly states the verb 'load' and resource 'persistent background Frida script'. Distinguishes from sibling tools by mentioning subsequent use of call_rpc and get_script_output.

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

Usage Guidelines5/5

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

Explicitly states when to use (set up hooks for data collection or RPC exports) and provides clear guidance on what to do afterwards and upon failure (reattach).

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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