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Forensics Utils MCP Server

Forensics Utils MCP Server

by jus1-c
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

firefox_parse_bookmarks_tool

Parse Firefox bookmark entries from a browser profile directory. Filter results by title or URL and set a limit for streamlined forensic analysis.

Instructions

Parse Firefox bookmark entries from a browser profile. Typical profile path: "C:\Users<user>\AppData\Roaming\Mozilla\Firefox\Profiles<rand>.default-release".

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": {
      "profile_path": "<profile_path>"
    },
    "name": "firefox_parse_bookmarks_tool"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNoOptional exact bookmark URL filter
limitNoMaximum number of bookmark entries to return
titleNoOptional exact bookmark title filter
profile_pathYesAbsolute path to the Firefox profile directory

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the basic parse function and a typical path, with no mention of read-only behavior, error handling, or prerequisites.

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, front-loaded with the core purpose and followed by a useful example. Every sentence earns its place with no extraneous detail.

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?

An output schema exists, so return values do not need explanation. The description covers the essential function and a practical path example, though it omits edge cases or prerequisites, which is acceptable for a straightforward parse tool.

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 coverage is 100% and parameters have clear descriptions. The description adds a concrete example of a typical profile_path value, enhancing parameter understanding beyond the 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 tool parses Firefox bookmark entries from a browser profile, with a specific verb and resource. This unambiguously distinguishes it from sibling tools that parse other Firefox data types.

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

Usage Guidelines3/5

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

The description provides a typical profile path, offering contextual guidance for use. However, it does not explicitly state when to choose this tool over other Firefox parse tools, nor does it mention exclusions or alternatives.

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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