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Space-C0wboy

Vicarius vRx MCP Server

by Space-C0wboy

aggregation_search_group

Groups objects by a specified field to analyze aggregated vulnerability or endpoint data and uncover patterns.

Instructions

aggregation · POST /aggregation/searchGroup — Group objects by stuff. Required: objectName, q, from, size, group.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
objectNameNoquery param objectName (str)
qNoquery param q (str)
sortNoquery param sort (str)
includeOriginalDocNoquery param includeOriginalDoc (bool)
excludeFieldsNoquery param excludeFields (str)
includeFieldsNoquery param includeFields (str)
sumLastSubAggregationBucketsNoquery param sumLastSubAggregationBuckets (int)
subAggregationLevelNoquery param subAggregationLevel (int)
newParserNoquery param newParser (bool)
minDocCountNoquery param minDocCount (int)
from_Noquery param from (int)
sizeNoquery param size (int)
groupNoquery param group (str)
totalByNoquery param totalBy (str)
aggrUseMaxSizeNoquery param aggrUseMaxSize (bool)
bodyNoJSON request body
Behavior2/5

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

With no annotations, the description should disclose behavioral traits but only provides the HTTP method and endpoint. It does not mention authentication, rate limits, data mutation, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loads the endpoint, but it is informal and incomplete. It sacrifices clarity for brevity, making it minimally acceptable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 16 parameters, no output schema, and no annotations, the description provides almost no context. It does not explain the grouping behavior, response format, or parameter interactions, leaving the agent with insufficient information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the description incorrectly claims that objectName, q, from, size, and group are required (schema shows all optional). It adds no additional meaning beyond the schema's parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Group objects by stuff' and lists required parameters, but it's vague about what exactly is being grouped and what the grouping entails. It fails to differentiate from sibling tool 'aggregation_group'.

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?

No guidance on when to use this tool versus alternatives like 'aggregation_group' or other search tools. No context on prerequisites or when not to use it.

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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