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datadog-mcp-server

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update-incident

Update an incident's title, customer impact status, scope, and timestamps (detected, impact start/end) by providing the incident ID.

Instructions

Update a Datadog incident's title, customer impact, or timestamps

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
incidentIdYesThe incident ID to update
titleNoUpdated title of the incident
customerImpactedNoWhether the incident caused customer impact
customerImpactScopeNoUpdated summary of customer impact
customerImpactStartNoISO 8601 timestamp when customer impact began
customerImpactEndNoISO 8601 timestamp when customer impact ended
detectedNoISO 8601 timestamp when the incident was detected
Behavior2/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It indicates mutation ('Update') but lacks details on idempotency, side effects, authentication, or rate limits. The description is minimal.

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?

A single 10-word sentence that is front-loaded with the action and resource. No wasted words or redundancy. Efficient and clear.

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 mutation tool with 7 parameters and no output schema, the description is brief. It does not cover return values, error handling, or field constraints. While adequate, it lacks completeness for richer context.

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 the schema already documents each parameter. The description lists some key fields (title, customer impact, timestamps) but adds no extra meaning beyond what the schema provides. Baseline 3 is appropriate.

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 'Update', the resource 'Datadog incident', and specific fields like title, customer impact, or timestamps. This distinguishes it from sibling tools such as create-incident and delete-incident.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention prerequisites or conditions. Usage is implied by the tool name and schema but not elaborated.

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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