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jus1-c

Forensics Utils MCP Server

by jus1-c

firefox_parse_web_data_tool

Parse Firefox form history, permissions, content preferences, and search engines from a profile directory for forensic analysis.

Instructions

Parse Firefox web-data-like artifacts such as form history, permissions, Typical profile path: "C:\Users<user>\AppData\Roaming\Mozilla\Firefox\Profiles<rand>.default-release". content preferences, and search engines.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of records to return
categoryNoOptional exact category filter (`form_history`, `permissions`, `content_prefs`, `search_engines`)
profile_pathYesAbsolute path to the Firefox profile directory

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose whether this is a read-only operation, whether specific permissions are needed, what happens if the artifact is missing, or any side effects. The only added behavior is the typical profile path note, which is minimal and does not address safety or operational traits.

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

Conciseness2/5

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

The description is short but structurally flawed. The typical profile path sentence is awkwardly inserted between the list items, breaking the flow and making the text confusing. While concise in word count, the poor formatting harms readability and structure.

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

Completeness2/5

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

An output schema is present, so return values are covered, but the description lacks context for a multi-category tool. It does not explain how the categories relate, whether output is unified, or what to expect across categories. Given no annotations, the lack of behavioral and usage context makes the description insufficient for full operational understanding.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds little beyond the schema: the 'such as' list partially mirrors the category parameter's allowed values, and the profile path hint provides a useful example for the profile_path parameter, but this is marginal and not a substantive semantic addition.

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?

The description states a clear verb and resource: 'Parse Firefox web-data-like artifacts' and lists specific examples (form history, permissions, content preferences, search engines). This distinguishes it from sibling tools that target specific artifacts like history or bookmarks, though the term 'web-data-like' is somewhat vague and could be sharper.

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 provides no guidance on when to use this tool versus the many sibling Firefox parse tools. It does not mention that this tool aggregates multiple artifact types or that specific alternatives exist for individual categories. No exclusions or context are given.

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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