Skip to main content
Glama
threadlinqs-cmd

Intel Threadlinqs MCP

Correlation Engine

get_correlation_engine
Read-onlyIdempotent

Retrieve detailed data from correlation engines for threat analysis: MITRE heatmaps, adversary infrastructure, IOC consensus, CVE velocity, attribution, detection debt, and enrichment.

Instructions

Get detailed data from a specific correlation engine. Engines: mitre-heatmap (technique risk scores), adversary-infra (threat actor infrastructure), ioc-consensus (cross-source IOC validation), cve-velocity (exploit timeline analysis), attribution (cross-actor shared entities), detection-debt (uncovered technique gaps), enrichment (data source health).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engineYesCorrelation engine name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the tool is known to be safe and read-only. The description adds the specific engines and their purposes, which is useful context beyond the annotations.

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 extremely concise, using two sentences to convey the purpose and list all engine options. No extraneous words.

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 simplicity of the tool (one parameter, enum values, output schema), the description is complete enough. It explains the tool's purpose and all available inputs. No missing information.

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?

The schema already covers the single parameter with enum values and a description. The description repeats the enum values with brief explanations, adding no new semantics. With 100% schema coverage, baseline 3 is appropriate.

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 uses a specific verb ('Get detailed data') and resource ('specific correlation engine'), listing all engine names with brief purpose descriptions. This effectively distinguishes the tool from its many siblings.

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

Usage Guidelines4/5

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

The description provides clear context by listing each engine's purpose, guiding the agent on which engine to use. However, it does not explicitly state when not to use this tool or name alternatives among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/threadlinqs-cmd/intelthreadlinqs-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server