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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_eval

Evaluate inline JavaScript code on a target process for dynamic analysis and security research.

Instructions

Evaluate inline JavaScript against a target, equivalent to CLI -e.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
js_codeYes
duration_secondsNo
modeNoattach
device_idNo
runtimeNo
parametersNo
auto_performNo
exit_on_errorNo
kill_on_exitNo
output_fileNo
Behavior2/5

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

With no annotations, description carries full burden but only says 'evaluate'. No mention of side effects, permissions, output, or whether it modifies target state. Parameters like exit_on_error, kill_on_exit suggest behaviors but are unexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence is concise and front-loaded, but omits essential details. Could be expanded without losing brevity.

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

Completeness1/5

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

For a tool with 11 parameters, no output schema, and no annotations, the description is severely incomplete. No hints about return values, error behavior, or how parameters interact.

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

Parameters1/5

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

Schema description coverage is 0%. Description adds no parameter details despite 11 parameters (including target, js_code, mode, etc.). Agent must infer all semantics from names alone.

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?

Description clearly states the tool evaluates inline JavaScript against a target and equates to CLI `-e`. Distinguishes from interactive or script-based alternatives but could be more explicit.

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 over siblings like frida_interactive_eval or frida_gum_script_evaluate. The CLI equivalence hint is weak.

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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