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mnmozi

Dynatrace SaaS MCP Server

by mnmozi

list_openpipeline_configurations

List all OpenPipeline configurations for each data type (logs, events, bizevents, etc.) and view their editable status.

Instructions

List all OpenPipeline configurations (one per data type: logs, events, bizevents, metrics, spans, davis, sdlcEvents, securityEvents, etc.). Returns the available data-type configurations with their editable status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden. It explains the output (data types and editable status) but does not explicitly state that the operation is read-only or non-destructive. However, 'list' implies a safe operation, and the description adds useful context beyond the schema.

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, focused sentence that conveys the tool's purpose and output without unnecessary words or structure. It is front-loaded with the action and resource.

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

Completeness5/5

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

Given the tool has no parameters and no output schema, the description is complete for an agent to understand what the tool does and what it returns. The list of data types is specific and helpful.

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 zero parameters, so the description does not need to add parameter details. Baseline for 0 params is 4, and the description adds value by indicating the type of data returned (data types and editable status).

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 tool lists all OpenPipeline configurations per data type, and specifies the return includes editable status. This distinguishes it from sibling tools like get_openpipeline_configuration which targets a single configuration.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates use for obtaining an overview of all configurations, and sibling tools like get_openpipeline_configuration and update_openpipeline_configuration are available for specific operations, though no explicit when-to-use or when-not-to-use guidance is provided.

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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