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noodlemctwoodle

Sentinel Solutions MCP Server

get_workbook_details

Retrieve comprehensive metadata about a specific Microsoft Sentinel workbook, including its structure, queries, and configuration details for security analysis.

Instructions

Get detailed information about a specific workbook

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 but offers minimal insight. It implies a read-only operation ('get'), but doesn't disclose potential side effects, authentication needs, rate limits, or response format. For a tool with multiple parameters (including 'force_refresh' which suggests caching behavior), this lack of transparency is a significant gap, leaving the agent unaware of operational constraints.

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?

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It's front-loaded with the core action ('get detailed information'), making it easy to parse. However, it could be more structured by explicitly addressing parameters or usage, but as a standalone statement, it avoids waste and is appropriately concise for its limited content.

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 the complexity (5 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what 'detailed information' includes, how parameters like 'repository_owner' or 'force_refresh' affect behavior, or what the return values look like. For a tool that likely interacts with workbooks in a data or analytics context, this leaves the agent with insufficient context to use it effectively beyond basic invocation.

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?

The description adds no meaning beyond what the input schema provides, as it doesn't mention any parameters. However, with 100% schema description coverage (parameters are fully documented in the schema), the baseline score is 3. The schema defines parameters like 'workbook_id' and 'force_refresh', so the description's omission doesn't severely hinder understanding, but it fails to compensate or provide context for parameter usage.

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 the tool's purpose as retrieving detailed information about a specific workbook, which is clear but vague. It uses the verb 'get' with the resource 'workbook details', but doesn't specify what constitutes 'detailed information' or how this differs from sibling tools like 'list_workbooks' or 'get_solution_details'. The purpose is understandable but lacks specificity about the nature or scope of the details returned.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'list_workbooks' for broader listings or 'get_solution_details' for related resources, nor does it specify prerequisites or contexts for usage. The agent must infer usage from the tool name alone, which is insufficient for informed selection.

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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