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dreamiurg

Datadog MCP Server

by dreamiurg

list_workflow_executions

Retrieve execution instances for a Datadog workflow, including run history, status, and timing details. Use workflow ID and optional pagination.

Instructions

List execution instances for a Datadog workflow. Shows run history, status, and timing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflow_idYes
page_sizeNo
page_numberNo
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It mentions the tool shows run history, status, and timing, but does not disclose read-only nature, authentication needs, rate limits, or other behavioral traits. Minimal disclosure.

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?

Two succinct sentences: first states the action, second describes the output. No waste, front-loaded with purpose.

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?

For a simple list tool, the description covers basic purpose and output content but lacks parameter explanations and usage context. With no output schema and no annotations, it is minimally adequate but leaves gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no explanation for the three parameters (workflow_id, page_size, page_number) beyond the tool name. The agent receives no additional meaning beyond the raw schema.

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 verb 'List' and the resource 'execution instances for a Datadog workflow', distinguishing it from sibling tool 'list_workflows' which lists the workflows themselves.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool vs alternatives; the description implies usage by requiring a workflow_id, but does not explain when to choose this over 'list_workflows' or other listing tools.

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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