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datadog-mcp-server

get-workflow-instance

Read-only

Retrieve complete step-by-step details for a single workflow instance, including input, output, status, and errors. Use to debug failed runs in Datadog.

Instructions

Get full run details for a single workflow instance — step-by-step input, output, status, and error. Use this to debug failed runs (e.g., a Slack alert says 'Workflow X failed at step Y').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowIdYesWorkflow UUID
instanceIdYesWorkflow instance (run) ID
Behavior4/5

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

Annotations indicate readOnlyHint=true and openWorldHint=true. The description adds behavioral detail by specifying the return content (step-by-step input, output, status, error), which is beyond what annotations provide. No contradictions.

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 consists of two sentences: the first states the purpose and content, the second provides usage guidance. It is concise with no unnecessary words.

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?

For a simple retrieval tool with no output schema, the description covers the purpose, return content (step-by-step details), and a concrete use case (debugging). It is complete enough for an agent to select and invoke correctly.

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 input schema already describes both parameters clearly ('Workflow UUID' and 'Workflow instance (run) ID') with 100% coverage. The description does not add additional parameter semantics, but the baseline score is 3 due to full schema coverage.

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 it retrieves 'full run details for a single workflow instance' with explicit content (input, output, status, error). It distinguishes from siblings like 'list-workflow-instances' (which lists multiple) and 'get-workflow' (which gets the workflow definition).

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 provides a specific use case: 'debug failed runs' with a concrete example (Slack alert). While it doesn't explicitly state when not to use it or list alternatives, the context and sibling names imply alternatives exist, so the guidance is strong but not exhaustive.

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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