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josimarh

azure-mcp-pilot

by josimarh

timeline_natural_language_query

Read-onlyIdempotent

Query privilege audit timelines in Microsoft Entra ID and Azure RBAC using natural language. Get real tenant data on role changes, PIM activations, and access modifications for security auditing.

Instructions

Interpreta perguntas de auditoria temporal de privilégios em linguagem natural.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
questionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the description adds little behavioral context beyond those hints. It does not disclose what the tool returns, how it handles malformed questions, or any limitations of the natural-language interpretation.

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 focused sentence with no filler or redundancy, and the core purpose is front-loaded. It is concise, though the brevity comes at the cost of useful details that could have been included without harming structure.

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 tool's NL-query nature, the absence of an output schema, and the large set of ambiguous sibling tools, this description is too sparse. It lacks examples, alternative routing guidance, and any explanation of the query result format or capabilities.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that 'question' is a natural-language temporal privilege audit question, but it says nothing about the 'limit' parameter, default behavior, or expected question format.

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 states a specific action and resource: it interprets natural-language questions about temporal privilege audit. The temporal privilege audit scope distinguishes it from generic query tools, though it does not explicitly contrast it with other natural-language query siblings like iam_natural_language_query or pim_natural_language_query.

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?

There is no guidance on when to use this tool versus the many related NL query and timeline tools. The intended context is implied by the description but no exclusions or alternatives are provided, leaving the agent to infer routing from the tool name alone.

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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