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fuzzmind

fuzzmind-frida-mcp

by fuzzmind

frida_memory_access_monitor

Monitor memory read, write, and execute accesses on specified ranges in a target process. Capture access events by defining memory ranges and monitoring duration.

Instructions

Monitor memory accesses (read/write/execute) on specified ranges.

Uses MemoryAccessMonitor to capture access events.

target: process name or pid (string). ranges: list of {base: "0x...", size: N} dicts defining regions. duration_seconds: how long to monitor (default 10).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes
rangesYes
duration_secondsNo
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions using MemoryAccessMonitor to capture access events, but fails to explain side effects, permissions required, whether it blocks execution, or how events are returned. The description lacks sufficient detail about what happens during monitoring.

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 extremely concise: 5 lines with no filler. It front-loads the purpose, then explains parameters in bullet format. Every sentence adds value without redundancy.

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?

The description covers parameter semantics adequately, but lacks any mention of the return value or output format. Given no output schema, the agent is left guessing what the tool returns (e.g., events list, status). This gap reduces completeness for a monitoring tool.

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

Parameters5/5

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

Despite zero schema description coverage, the description adds significant meaning: it clarifies target as a process name or pid, specifies ranges as a list of objects with 'base' and 'size' keys, and gives a default for duration_seconds. This fully compensates for the bare schema.

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 the action (Monitor), resource (memory accesses), and scope (read/write/execute on specified ranges). It uses specific verbs and distinguishes from other memory-related sibling tools like reading or writing memory.

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 does not provide any context on when to use this tool versus alternatives such as memory scanning or direct memory read/write. No exclusions or prerequisites are mentioned, leaving the agent without guidance on selection.

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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