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mnmozi

Dynatrace SaaS MCP Server

by mnmozi

preview_openpipeline_pipeline

Simulate a sequence of data processors on a sample record, seeing each step's output and the final result. Stops on the first error to debug pipeline logic.

Instructions

Preview the effect of an ORDERED SEQUENCE of processors by threading a record through each one via repeated /preview/processor API calls (safe, read-only). Each step's output record becomes the next step's input — this is pure-code orchestration, not a bulk API call. Returns a per-step trace (matched, record) and the finalRecord after all steps. Stops at the first step that returns an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
processorsYesOrdered list of processor definitions (each like a single-preview processor: type, id, matcher, fields, ...). Do NOT include sampleData; the tool injects it per step.
sampleDataYesInitial record to feed the pipeline: a JSON-encoded string OR an object.
Behavior5/5

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

With no annotations, the description fully covers behavioral traits: safe/read-only, orchestration method, per-step trace, finalRecord, error handling. Transparent about what it does and does not do.

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?

Three sentences, front-loaded with key information, every sentence essential. No redundancy.

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 no output schema, description explains return values (per-step trace and finalRecord). Schema covers all parameters. Sufficient for understanding and usage.

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?

Schema coverage is 100%, so baseline is 3. Description adds value by advising not to include sampleData in processors (injected) and explains the chaining behavior, exceeding schema details.

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?

Explicitly states it previews an ordered sequence of processors by threading a record, uses repeated API calls, and distinguishes from single-processor preview (sibling tool). Verb+resource+scope is clear.

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?

Describes the process and notes it stops on first error, but lacks explicit when-to-use vs the sibling 'preview_openpipeline_processor'. Provides context but no exclusions.

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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