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datadog-mcp-server

update-incident

Update a Datadog incident's title, customer impact scope, or timestamps to reflect current status.

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, and the description only says 'Update' without disclosing behavioral traits such as idempotency, partial update support, error handling for invalid incidentId, or whether updates are atomic. The description does not compensate for the lack of annotations.

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 a single sentence of 12 words, front-loading the action and resource. It is efficient but could benefit from slightly more detail given the number of parameters.

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?

No output schema or annotations exist, and the description fails to explain return values, error conditions, or validation rules. For a tool updating an incident with 7 possible parameters, the description is incomplete.

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 has 100% coverage with descriptions for all 7 parameters. The description lists some parameter categories (title, timestamps) but adds no new meaning beyond the schema. 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 uses a specific verb ('Update') and resource ('Datadog incident'), and lists the updatable fields (title, customer impact, timestamps). It clearly distinguishes from sibling tools like create-incident and get-incidents.

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 implies usage when modifying incident fields but provides no explicit guidance on when to use this tool versus alternatives (e.g., search-incidents, get-incident), nor does it mention prerequisites or exclusions.

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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