Skip to main content
Glama
yeshsurya

Kusto MCP Server

by yeshsurya

kusto_query

Execute KQL queries on Azure Data Explorer with configurable output format and row limits.

Instructions

Execute a KQL (Kusto Query Language) query against an Azure Data Explorer cluster. This is the primary tool for running queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe KQL query to execute
connectionNameNoName of a saved connection to use. If not specified, uses the default connection.
databaseNoDatabase name to query. Overrides the database in the connection.
maxRowsNoMaximum number of rows to return (default: 10000)
timeoutNoQuery timeout in milliseconds (default: 60000)
formatNoOutput format: json (structured), table (formatted text), or raw (CSV)
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits such as whether queries are read-only, or any side effects, authorization needs, or rate limits.

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?

Very concise single sentence; effectively communicates the core purpose without unnecessary words, though could be slightly more informative.

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

Completeness2/5

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

Given 6 parameters, no output schema, and no annotations, the description is too sparse; lacks details on return format, error handling, or query characteristics.

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?

Schema description coverage is 100%, so the description does not need to add parameter details; it correctly relies on the schema for parameter meaning.

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

Purpose4/5

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

The description clearly states it executes KQL queries and calls itself the 'primary tool', but does not differentiate from siblings like kusto_execute or kusto_script, missing a clear distinction.

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 explicit guidance on when to use or when not to use, no mention of alternatives or prerequisites; 'primary tool' implies general use but no exclusion criteria.

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/yeshsurya/kusto-mcp-server'

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