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DeepTempo

Splunk MCP for SOC Operations

by DeepTempo

build_attack_timeline

Reconstruct multi-stage attacks by correlating events across IPs, users, and domains, producing a chronological timeline with MITRE ATT&CK mapping and remediation guidance.

Instructions

Build comprehensive attack timeline from multiple indicators.

Reconstructs a multi-stage attack by correlating events across different indicators (IPs, users, domains) to show the complete attack narrative.

Args: indicators: List of indicators, e.g. [{"type": "ip", "value": "10.1.42.42"}, {"type": "user", "value": "admin"}] timeframe: Time window to search (default: "-30d") correlation_window: Time window in seconds to correlate events (default: 7200 = 2 hours)

Returns: Dictionary containing: - summary: Attack overview with duration and stages - timeline: Chronological events with MITRE ATT&CK mapping - attack_chain: Events grouped by attack stage - recommendations: Remediation suggestions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timeframeNo-30d
indicatorsYes
correlation_windowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must carry the full burden. It discloses that it correlates events and returns a dictionary with summary, timeline, attack_chain, and recommendations—useful behavioral output. However, it does not explicitly state whether the operation is read-only, if it has side effects, or any access requirements. This leaves a gap in transparency.

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 opens with a clear one-sentence summary, follows with a brief explanatory sentence, then uses labeled sections for Args and Returns. Every sentence adds value without unnecessary words—efficient and organized.

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?

Given the tool's complexity (3 params, no schema descriptions, no annotations), the description is quite thorough: it explains parameters, return structure, and the overall purpose. The main gap is the lack of explicit usage guidelines or alternative comparisons, which would make it fully complete for selection decisions.

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 fully does: each parameter is explained with examples and defaults. For 'indicators', it provides a concrete JSON example; for 'timeframe', it explains the time window; for 'correlation_window', it specifies seconds and the default of 2 hours. This adds substantial meaning beyond 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 opens with 'Build comprehensive attack timeline from multiple indicators'—a specific verb and resource. It further explains it reconstructs a multi-stage attack by correlating events across IPs, users, and domains, clearly distinguishing this from sibling tools like find_lateral_movement or correlate_with_deeptempo_finding.

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 for reconstructing attack narratives from indicators, giving context of when to use it. However, it lacks explicit exclusions or comparisons to alternatives such as find_lateral_movement or search_splunk. The guidance is clear but not fully explicit about when not to use this tool.

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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