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Mallory MCP Server

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by malloryai

get_vulnerability_exploitations

Retrieve active exploitation data for specific vulnerabilities to assess risk, prioritize patching, and inform incident response decisions based on threat actor activity.

Instructions

Get exploitation data for a specific vulnerability

Use this tool when you need to determine if a vulnerability has been actively exploited in the wild. This information is critical for risk assessment, incident response, and prioritization of remediation efforts. Exploitation data can help you:

  • Validate that a vulnerability is being actively used by threat actors

  • Understand when exploitation began and if it's ongoing

  • Identify which detection mechanisms observed the exploitation

  • Determine the frequency or prevalence of exploitation (count)

  • Make data-driven decisions about patching priorities

Args: identifier (str): The unique CVE ID or UUID of the vulnerability to retrieve. Example formats: "CVE-2023-1234" or "123e4567-e89b-12d3-a456-426614174000"

Returns: Dict[str, Any]: List of exploitation records for the specified vulnerability, where each record contains: - uuid: Unique identifier for this exploitation record - begins_at: Timestamp when exploitation was first observed - ends_at: Timestamp when exploitation activity ended - count: Number of exploitation occurrences detected - created_at: Timestamp when this record was first added - updated_at: Timestamp when this record was last modified - detection_signature_uuid: UUID of the signature that detected this exploitation - detection_signature_name: Name of the detection signature - detection_signature_source: Source of the detection (e.g., "cisa_kev") - detection_signature_method: Method used for detection (e.g., "manual")

An empty list indicates no known exploitation events for this vulnerability.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYes

Implementation Reference

  • The handler function implementing the 'get_vulnerability_exploitations' MCP tool. It is registered via the @mcp.tool() decorator and handles API errors with @handle_api_errors. The function proxies the request to the malloryai_client, passing the vulnerability identifier and returning the exploitation data.
    @mcp.tool()
    @handle_api_errors
    async def get_vulnerability_exploitations(
        identifier: str,
    ) -> Dict[str, Any]:
        """Get exploitation data for a specific vulnerability
    
        Use this tool when you need to determine if a vulnerability has been actively exploited
        in the wild. This information is critical for risk assessment, incident response, and
        prioritization of remediation efforts. Exploitation data can help you:
        - Validate that a vulnerability is being actively used by threat actors
        - Understand when exploitation began and if it's ongoing
        - Identify which detection mechanisms observed the exploitation
        - Determine the frequency or prevalence of exploitation (count)
        - Make data-driven decisions about patching priorities
    
        Args:
            identifier (str): The unique CVE ID or UUID of the vulnerability to retrieve.
                Example formats: "CVE-2023-1234" or "123e4567-e89b-12d3-a456-426614174000"
    
        Returns:
            Dict[str, Any]: List of exploitation records for the specified vulnerability,
            where each record contains:
                - uuid: Unique identifier for this exploitation record
                - begins_at: Timestamp when exploitation was first observed
                - ends_at: Timestamp when exploitation activity ended
                - count: Number of exploitation occurrences detected
                - created_at: Timestamp when this record was first added
                - updated_at: Timestamp when this record was last modified
                - detection_signature_uuid: UUID of the signature that detected this exploitation
                - detection_signature_name: Name of the detection signature
                - detection_signature_source: Source of the detection (e.g., "cisa_kev")
                - detection_signature_method: Method used for detection (e.g., "manual")
    
            An empty list indicates no known exploitation events for this vulnerability.
        """
        return await malloryai_client.vulnerabilities.get_vulnerability_exploitations(
            identifier=identifier
        )
Behavior4/5

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 effectively describes what the tool does (retrieves exploitation records), the return format (list of records with detailed fields), and edge cases (empty list indicates no known exploitation). It lacks details on rate limits, authentication needs, or error handling, but provides substantial context beyond basic function.

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

Conciseness4/5

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

The description is well-structured with a clear purpose statement, usage guidelines, bullet-pointed benefits, and detailed parameter/return sections. While comprehensive, it could be more front-loaded; the core function is stated upfront, but the bullet points, though useful, add length. Every sentence earns its place by adding value.

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 the tool's complexity (retrieves detailed exploitation data), lack of annotations, and no output schema, the description provides complete context. It explains the tool's purpose, when to use it, parameter details, and a full breakdown of return values, making it self-sufficient for an agent to understand and invoke the tool correctly.

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?

The schema description coverage is 0%, so the description must compensate fully. It does so by clearly explaining the 'identifier' parameter: its purpose (CVE ID or UUID of the vulnerability), format examples ('CVE-2023-1234' or UUID), and that it's required. This adds essential meaning not present in 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 tool's purpose with specific verb ('Get exploitation data') and resource ('for a specific vulnerability'), distinguishing it from siblings like 'get_vulnerability_configurations' or 'list_exploitations'. It explicitly mentions what the tool retrieves (exploitation data) and for what (a specific vulnerability), making its function unambiguous.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool: 'Use this tool when you need to determine if a vulnerability has been actively exploited in the wild.' It lists specific use cases (risk assessment, incident response, prioritization) and contrasts with siblings by focusing on exploitation data for a single vulnerability, unlike 'list_exploitations' which might list multiple or 'get_vulnerability_configurations' which handles different data.

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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