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datadog-mcp-server

by us-all

create-incident

Create a new Datadog incident by providing a title and specifying whether customers are impacted, with optional scope details.

Instructions

Create a new Datadog incident with title and customer impact info

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesThe title of the incident, summarizing what happened
customerImpactedYesWhether the incident caused customer impact
customerImpactScopeNoImpact summary (required if customerImpacted is true)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states the basic function without revealing behavioral traits such as authentication requirements, side effects, error conditions, or the conditional requirement of customerImpactScope.

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 sentence of 12 words, front-loaded with the key purpose. Every word earns its place; no unnecessary information.

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?

Given the tool has 3 parameters and no output schema, the description is too minimal. It fails to describe the return value, conditional logic (customerImpactScope required when customerImpacted is true), or any error scenarios. The agent lacks context for effective use.

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?

Schema description coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema; it merely repeats that the tool takes title and customer impact info.

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 action ('Create') and the resource ('Datadog incident'), and mentions the key fields (title, customer impact info). This distinguishes it from sibling tools like update-incident, get-incident, etc.

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 provides no guidance on when to use this tool versus alternatives (e.g., update-incident). It does not mention prerequisites, exclusions, or typical use cases.

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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