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IBM QRadar SIEM MCP Server

qradar_get_reference_set

Fetch metadata and entries from a QRadar Reference Set by name, with pagination controls for large datasets.

Instructions

Retrieve metadata and entries of a specified Reference Set.

Args: name: The exact name of the Reference Set. limit: Maximum number of elements to retrieve (default: 100). offset: Starting index for pagination (default: 0).

Returns: JSON string containing reference set details and element data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
limitNo
offsetNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

There are no annotations, so the description is the sole behavioral source. It clearly states this is a read operation returning JSON details and element data, and it explains pagination via limit/offset. It does not mention error handling or permission requirements, but for a simple fetch operation this is adequate minimal coverage.

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 compact and well-organized with Args and Returns sections. Every sentence earns its place, and the key action is front-loaded. No fluff or irrelevant detail.

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 presence of an output schema, the description does not need to detail the return shape. It covers required and optional parameters, defaults, and the high-level return type. Lacking is guidance on edge cases (e.g., empty set, missing set) and any special API constraints, but those are not critical enough for a simple read.

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 coverage is 0%, so the description is the only source of parameter meaning. It fully explains each parameter: name is the exact reference-set name, limit is the max element count with default 100, offset is the pagination starting index with default 0. This completely compensates for 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 states a specific verb ('Retrieve') and a distinct resource ('metadata and entries of a specified Reference Set'). It clearly differentiates from the sibling qradar_list_reference_sets, which logically lists all sets, while this one fetches a single, named set.

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

Usage Guidelines2/5

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

The description gives no direct guidance on when to choose this tool instead of siblings. An agent must infer from the name that qradar_list_reference_sets is for enumerating and this is for one specific set, but no explicit when/when-not guidance is provided.

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