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dreamiurg

Datadog MCP Server

by dreamiurg

get_incident_timeline

Retrieve timeline events for a Datadog incident, showing status changes, messages, tasks, and notifications.

Instructions

Get timeline events for a Datadog incident. Shows status changes, messages, tasks, notifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
incident_idYes
page_sizeNo
page_offsetNo
filter_typeNo
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 notes the types of events shown, but does not mention pagination behavior, rate limits, ordering, or whether the operation is read-only. The listing of event types adds only partial transparency.

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 concise with one brief sentence and a list of event types. It front-loads the purpose, but could be better structured to include parameter usage or example values. Overall, it is fairly efficient but could improve readability.

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 retrieves a timeline with four parameters and no output schema, the description is too sparse. It lacks details on response structure, pagination, parameter roles, and how to filter events. The agent cannot confidently use the tool correctly based solely on this description.

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 does not explain any of the four parameters (incident_id, page_size, page_offset, filter_type). No meaning is added beyond the schema field names, leaving the agent without guidance on parameter values or usage.

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 tool gets timeline events for a Datadog incident, with specific examples like status changes, messages, tasks, and notifications. It uses a specific verb and resource, distinguishing it from siblings such as get-incidents and get_incident_todos.

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 does not provide any guidance on when to use this tool versus alternatives, no prerequisites or exclusions. It only states what it shows, leaving the agent to infer usage context without explicit direction.

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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