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noodlemctwoodle

Sentinel Solutions MCP Server

list_parsers

Search and list Microsoft Sentinel parsers (KQL functions) by solution, name, query content, or file path to analyze security data in Log Analytics tables.

Instructions

List Microsoft Sentinel parsers (KQL functions) - search by solution, name, query content, or file path. Returns max 100 results by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries full burden and adds valuable behavioral context: it discloses the default result limit (max 100 results) and the searchable fields (solution, name, query content, file path). However, it doesn't mention pagination behavior, rate limits, authentication requirements, or what happens when force_refresh is used.

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 perfectly concise - a single sentence that front-loads the purpose and includes essential behavioral details (search capabilities and default limit). Every word earns its place with zero redundancy or unnecessary elaboration.

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?

For a read-only list/search tool with no output schema, the description provides good context about what it returns and how to filter results. However, without annotations and with 9 parameters, it could benefit from more detail about the return format, pagination, or error conditions to be fully complete.

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 schema already documents all 9 parameters. The description adds some semantic context by mentioning four search fields (solution, name, query content, file path) and the default limit, but doesn't provide additional syntax, format details, or explain parameters like repository_owner, repository_name, repository_branch, or force_refresh beyond what the schema provides.

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 states the action ('List'), the resource ('Microsoft Sentinel parsers (KQL functions)'), and the scope ('search by solution, name, query content, or file path'). It distinguishes itself from siblings by specifying it lists parsers specifically, unlike tools like list_functions or list_tables which handle different resource types.

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 context by mentioning search capabilities and the default limit, but doesn't explicitly state when to use this tool versus alternatives like list_functions or search_solutions. No guidance is provided on prerequisites, exclusions, or specific scenarios where this tool is preferred.

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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