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Mallory MCP Server

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by malloryai

get_vulnerability_detection_signatures

Retrieve technical detection signatures for specific vulnerabilities to build security monitoring rules and identify potential compromises in your environment.

Instructions

Get detection signatures for a specific vulnerability

Use this tool when you need to understand how a specific vulnerability can be detected in your environment. Detection signatures provide technical indicators that can help security teams identify if they're exposed to or being targeted by a particular vulnerability. This is particularly useful for:

  • Building detection rules for security monitoring tools

  • Understanding the technical indicators of compromise

  • Verifying if detection capabilities exist for a specific vulnerability

  • Determining which sources (vendors, researchers) have published detection methods

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 detection signatures for the specified vulnerability, where each signature contains: - uuid: Unique identifier for this detection signature - source: Origin of the detection signature (e.g., "cisa_kev", "snort", "yara") - method: How the signature was created (e.g., "manual", "automated") - description: Human-readable description of what the signature detects - upstream_id: Original identifier from the source system - created_at: Timestamp when this signature was first added - updated_at: Timestamp when this signature was last modified

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYes

Implementation Reference

  • MCP tool handler for 'get_vulnerability_detection_signatures'. Decorated with @mcp.tool() for registration and @handle_api_errors. Proxies the call to malloryai_client.vulnerabilities.get_vulnerability_detection_signatures(identifier). Includes type hints, comprehensive docstring defining input/output schema.
    @mcp.tool()
    @handle_api_errors
    async def get_vulnerability_detection_signatures(
        identifier: str,
    ) -> Dict[str, Any]:
        """Get detection signatures for a specific vulnerability
    
        Use this tool when you need to understand how a specific vulnerability can be detected
        in your environment. Detection signatures provide technical indicators that can help
        security teams identify if they're exposed to or being targeted by a particular
        vulnerability. This is particularly useful for:
        - Building detection rules for security monitoring tools
        - Understanding the technical indicators of compromise
        - Verifying if detection capabilities exist for a specific vulnerability
        - Determining which sources (vendors, researchers) have published detection methods
    
        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 detection signatures for the specified vulnerability,
            where each signature contains:
                - uuid: Unique identifier for this detection signature
                - source: Origin of the detection signature (e.g., "cisa_kev", "snort", "yara")
                - method: How the signature was created (e.g., "manual", "automated")
                - description: Human-readable description of what the signature detects
                - upstream_id: Original identifier from the source system
                - created_at: Timestamp when this signature was first added
                - updated_at: Timestamp when this signature was last modified
        """
        return (
            await malloryai_client.vulnerabilities.get_vulnerability_detection_signatures(
                identifier=identifier
            )
        )
Behavior3/5

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 describes what the tool returns (detection signatures with technical indicators) and hints at its read-only nature by using 'get' and focusing on retrieval. However, it lacks details on permissions, rate limits, error handling, or pagination, which are important for a tool with security data.

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 well-structured and front-loaded: it starts with the core purpose, then usage guidelines, followed by bulleted use cases, and ends with parameter and return details. Every sentence adds value, with no redundancy or fluff, making it efficient and easy to parse.

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?

For a tool with no annotations, no output schema, and low schema coverage, the description does an excellent job covering purpose, usage, parameters, and return structure. It explains the return format in detail, compensating for the lack of output schema. However, it could improve by mentioning potential limitations (e.g., data availability, authentication needs) given the security context.

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?

Schema description coverage is 0%, so the description must compensate. It provides detailed semantics for the single parameter 'identifier', explaining it as 'The unique CVE ID or UUID of the vulnerability to retrieve' with example formats. This adds significant value beyond the bare schema, fully documenting the parameter's purpose and format.

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: 'Get detection signatures for a specific vulnerability.' It specifies the verb ('get'), resource ('detection signatures'), and scope ('for a specific vulnerability'), distinguishing it from siblings like 'get_vulnerability' or 'get_vulnerability_configurations' that focus on different aspects of vulnerability data.

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 explicitly states when to use this tool: 'Use this tool when you need to understand how a specific vulnerability can be detected in your environment.' It provides specific use cases (e.g., building detection rules, verifying detection capabilities) and implicitly distinguishes it from siblings by focusing on detection signatures rather than configurations, exploitations, or threat actors.

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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