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DeepTempo

Splunk MCP for SOC Operations

by DeepTempo

add_to_threat_list

Add an IOC to Splunk's threat intelligence list for automated detection and correlation. Create or update entries with IP, domain, hash, or URL values.

Instructions

Add an IOC to Splunk's threat intelligence list.

Creates or updates a threat intelligence entry in Splunk that can be used for automated detection and correlation.

Args: ioc_value: The IOC to add (IP, domain, hash, etc.) ioc_type: Type of IOC ("ip", "domain", "hash", "url") threat_type: Classification ("malicious", "suspicious", "watchlist") description: Human-readable description of the threat expiration_days: Days until this IOC expires (0 = never)

Returns: Dictionary containing: - success: Boolean indicating if IOC was added - ioc_value: The IOC that was added - collection_name: KV store collection name - expires_at: Expiration timestamp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ioc_typeYes
ioc_valueYes
descriptionNo
threat_typeNomalicious
expiration_daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses that the operation is an upsert ('creates or updates'), describes the side effect of being used for detection, and specifies the return dictionary. However, it does not mention required permissions, reversibility, or what happens on failure or conflict.

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 separate Args and Returns sections, making it easy to scan. However, there is slight redundancy (e.g., 'threat intelligence list' and 'threat intelligence entry in Splunk' in sequential sentences) that could be tightened.

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?

The description covers the tool's purpose, all parameters, and return values, which is sufficient for a moderately simple tool. It lacks explicit usage guidance versus alternatives and does not discuss operational prerequisites, but given the output schema and parameter descriptions, it is largely complete.

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 fully compensates. Each parameter is explained with context: ioc_value examples (IP, domain, hash), ioc_type enumerated, threat_type classification ('malicious', 'suspicious', 'watchlist'), and expiration_days clarifies '0 = never'. This is more helpful than 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 action: 'Add an IOC to Splunk's threat intelligence list.' It uses a specific verb ('Add') and resource ('Splunk's threat intelligence list'), distinguishing it from sibling tools like check_ioc_reputation or block_ip_address.

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 implies usage when you want to add or update a threat intelligence entry, noting it 'creates or updates' and is 'used for automated detection and correlation.' However, it does not explicitly mention when to use this tool versus alternatives, nor does it provide any exclusions or prerequisites.

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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