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brukhabtu

Datadog MCP Server

by brukhabtu

GetRuleVersionHistory

Retrieve the version history of a specific rule by its ID, enabling tracking of changes and updates for effective monitoring and management on Datadog MCP Server.

Instructions

Get a rule's version history.

Path Parameters:

  • rule_id (Required): The ID of the rule.

Query Parameters:

  • page[size]: Size for a given page. The maximum allowed value is 100.

  • page[number]: Specific page number to return.

Responses:

  • 200 (Success): OK

    • Content-Type: application/json

    • Response Properties:

    • Example:

{
  "data": "unknown_type"
}
  • 400: Bad Request

    • Content-Type: application/json

    • Response Properties:

      • errors: A list of errors.

    • Example:

{
  "errors": [
    "Bad Request"
  ]
}
  • 403: Not Authorized

    • Content-Type: application/json

    • Response Properties:

      • errors: A list of errors.

    • Example:

{
  "errors": [
    "Bad Request"
  ]
}
  • 404: Not Found

    • Content-Type: application/json

    • Response Properties:

      • errors: A list of errors.

    • Example:

{
  "errors": [
    "Bad Request"
  ]
}
  • 429: Too many requests

    • Content-Type: application/json

    • Response Properties:

      • errors: A list of errors.

    • Example:

{
  "errors": [
    "Bad Request"
  ]
}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page[number]NoSpecific page number to return.
page[size]NoSize for a given page. The maximum allowed value is 100.
rule_idYesThe ID of the rule.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It includes HTTP response codes (200, 400, 403, 404, 429) with examples, which adds behavioral context like error handling and rate limiting. However, it lacks details on pagination behavior (e.g., default values, maximum pages), authentication requirements, or data format specifics beyond the basic examples, leaving gaps for a tool with pagination parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is overly verbose and poorly structured. It includes redundant parameter details (already in the schema) and lengthy HTTP response sections with repetitive examples (e.g., multiple errors shown as 'Bad Request'). The core purpose is buried under unnecessary details, making it inefficient and hard to parse quickly. Sentences like 'Get a rule's version history.' are concise, but the rest adds clutter without proportional value.

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 complexity (3 parameters, pagination, no annotations, but has output schema), the description is moderately complete. It covers the basic purpose and includes response codes, but lacks guidance on usage versus siblings and detailed behavioral traits. The output schema exists, so explaining return values isn't needed, but the description could better address pagination mechanics and error scenarios to fully support an agent.

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 parameters (rule_id, page[size], page[number]) with descriptions and defaults. The description repeats this information in the 'Path Parameters' and 'Query Parameters' sections but doesn't add meaningful context beyond what the schema provides, such as explaining how pagination works or the significance of rule_id. This meets the baseline for high schema coverage.

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 tool's purpose: 'Get a rule's version history.' This is a specific verb ('Get') and resource ('rule's version history'), making it understandable. However, it doesn't explicitly differentiate from sibling tools like 'GetSecurityMonitoringRule' or 'ListSecurityMonitoringRules', which might retrieve current rule data or lists, leaving some ambiguity about when to use this specific tool.

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 any prerequisites, such as needing a specific rule ID, or contrast it with sibling tools like 'GetSecurityMonitoringRule' for current rule details or 'ListSecurityMonitoringRules' for rule lists. Without this context, an agent might struggle to choose this tool appropriately.

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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