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ouonet

x64dbg MCP Server

by ouonet

analyze_suspicious_apis

Analyze imported Windows APIs by cross-referencing against a database of malware indicators, grouped into categories like process injection, network, and anti-debug, to identify suspicious API usage and overall risk level.

Instructions

Cross-reference the executable's import table against a database of Windows APIs commonly used by malware, grouped by category (process injection, network, crypto, anti-debug, etc.). Returns per-category findings and an overall risk level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYesSession ID
moduleNoModule name (default: main executable)
includeAllNoInclude all imports, not just suspicious ones
Behavior3/5

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

No annotations provided, so description must disclose behavioral traits. It describes the analysis process but omits whether the tool modifies state, requires special permissions, or has side effects. Adequate but not detailed.

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?

Two concise sentences front-loading the action and outcome, with no redundant information.

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

Completeness5/5

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

Given no output schema, description covers return values (per-category findings, risk level). Parameters are simple and schema provides details. Sufficient for context.

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 covers all parameters with descriptions. The tool description adds context about the malware database but does not enhance parameter understanding beyond schema. Baseline 3 per rubric for high schema coverage.

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?

Description clearly states the tool cross-references imports against a malware API database, grouped by category, and returns risk level. This distinguishes it from siblings like get_imports (list only) and detect_anti_debug (specific category).

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?

Description implies usage for security analysis but does not explicitly guide when to use this tool versus alternatives like get_imports or analyze_function. No exclusions or prerequisites mentioned.

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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