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ClaudioLazaro

MCP Datadog Server

create_workflow_instances

Execute Datadog workflows to automate monitoring operations, log management, and metrics submission using registered application keys.

Instructions

Execute the given workflow. This API requires a registered application key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions an authentication requirement, which is useful. However, it doesn't describe what 'execute' entails (e.g., whether it triggers an immediate run, returns an instance ID, or has side effects), nor does it cover error handling, rate limits, or response format.

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

Conciseness4/5

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

The description is brief and front-loaded with the core action ('Execute the given workflow'), followed by an authentication note. Both sentences are relevant, though the link formatting could be simplified for plain text contexts.

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

Completeness2/5

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

For a tool that executes workflows (a potentially complex operation), the description is insufficient. With no annotations, no output schema, and minimal behavioral details, it lacks information on what execution entails, what the output looks like, error conditions, or how it differs from related tools.

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 0 parameters with 100% description coverage, so the schema fully documents the absence of parameters. The description doesn't need to add parameter details, and it appropriately focuses on execution context rather than inputs.

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 states the specific action ('Execute the given workflow') and resource ('workflow'), making the purpose clear. However, it doesn't distinguish this from sibling tools like 'create_workflows' (which likely creates workflow definitions) or 'update_workflow' (which modifies definitions), leaving some ambiguity about scope.

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 mentions an authentication requirement (registered application key), which provides some usage context. However, it offers no guidance on when to use this tool versus alternatives like 'create_workflows' or 'update_workflow_instances_cancel', nor does it specify prerequisites beyond authentication.

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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