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noodlemctwoodle

Sentinel Solutions MCP Server

get_solution_details

Retrieve detailed information about a specific Microsoft Sentinel solution, including data connectors, Log Analytics tables, detections, and playbooks from Content Hub or private repositories.

Instructions

Get detailed information about a specific solution (fast - only analyzes requested solution)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context about performance ('fast') and scope ('only analyzes requested solution'), but doesn't cover aspects like error handling, authentication needs, or rate limits. This is adequate but has clear gaps for a read operation.

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 a single, efficient sentence that front-loads the core purpose and adds valuable behavioral context ('fast - only analyzes requested solution'). Every word earns its place with no redundancy or waste.

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

Completeness3/5

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

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is complete enough for basic understanding. However, for a tool that retrieves 'detailed information', the lack of output schema means the description could benefit from hinting at what details are returned, though it's not strictly required.

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

Parameters4/5

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

The input schema has 0 parameters, so there are no parameters to document. The description doesn't need to add parameter semantics, and it appropriately focuses on the tool's behavior. A baseline of 4 is applied since no parameters exist.

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 the verb ('Get detailed information') and resource ('about a specific solution'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'search_solutions' or 'analyze_solutions', which prevents a perfect score.

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 with 'fast - only analyzes requested solution', suggesting this is for focused retrieval rather than broad analysis. However, it doesn't provide explicit guidance on when to use this versus alternatives like 'search_solutions' or 'analyze_solutions', leaving some ambiguity.

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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