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mem-forensics-mcp

mem-forensics-mcp

by x746b
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Local

memory_analyze_image

Initiate memory dump forensics with automatic OS structure detection, using Rust engine first and Volatility3 fallback. Returns a session ID for subsequent analysis.

Instructions

Initialize memory image analysis. Tries Rust engine first (fast ISF auto-detection), falls back to Vol3. Returns session ID for subsequent operations.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "image_path": "<image_path>"
    },
    "name": "memory_analyze_image"
  }
}

Input Schema

NameRequiredDescriptionDefault
dtbNoOverride DTB (hex or decimal, e.g., '0x1ad000')
image_pathYesPath to memory dump file (.raw, .vmem, .dmp, .lime, .mem)
kernel_baseNoOverride kernel base address (hex or decimal)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.2

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It reveals a significant behavioral trait: trying the Rust engine first with fast ISF auto-detection and falling back to Vol3. It also discloses the output (session ID), which is crucial for chaining operations. However, it does not mention side effects or failure modes, but the disclosed behaviors add substantial value.

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 two sentences with the core purpose front-loaded. Every clause earns its place: the engine fallback behavior and session ID return are both essential for understanding how to use the tool. There is no redundancy or filler.

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?

The tool is an initializer with a simple interface, and the description covers the essential workflow: initialize, receive a session ID, and use it for subsequent operations. It does not detail the return format, but the concept of a session ID is conveyed and no output schema exists. The description is complete enough for its scope.

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?

The schema already provides complete descriptions for all three parameters, including valid file extensions and override purposes. The description adds no extra parameter-specific semantics, relying on the schema's high coverage. A baseline score of 3 is appropriate.

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 tool's purpose with a specific verb ('Initialize') and resource ('memory image analysis'). It also distinguishes itself from sibling tools by noting it returns a session ID for subsequent operations, making it the entry point in the memory analysis workflow.

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 implies when to use this tool: before other memory analysis operations, as it provides a session ID for subsequent steps. It does not explicitly name alternative tools or state exclusions, but the context is clear enough for an agent to infer it is the first step.

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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