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datadog-mcp-server

get-incident

Retrieve detailed information about a Datadog incident by its ID, enabling rapid incident analysis and response.

Instructions

Get detailed information about a specific Datadog incident by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
incidentIdYesThe incident ID to retrieve
extractFieldsNoComma-separated dotted paths to project from response (e.g. 'id,name,owner.name,columns.*.name'). Use `*` as wildcard for arrays/objects. Wrap field names with dots in backticks. Reduces response tokens dramatically on large entities.
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 for behavioral traits. It does not disclose aspects like authentication requirements, rate limits, or the completeness of the response (e.g., whether it returns all fields). The presence of the 'extractFields' parameter hints at projection, but the description does not elaborate on default behavior.

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, well-structured sentence that conveys the core purpose without any fluff. Every word earns its place.

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 simple get-by-ID tool with two parameters and no output schema, the description is adequate but minimal. It lacks information about the response format, potential error conditions, or any constraints (e.g., incident existence, access permissions). Given the absence of output schema, the agent may not know what 'detailed information' includes.

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% for both parameters, so the baseline is 3. The description does not add additional meaning beyond the schema; it is terse and does not repeat or enhance the parameter descriptions.

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 ('Get'), the resource ('detailed information about a specific Datadog incident'), and the method ('by ID'). It distinguishes itself from sibling tools like 'get-incidents' (list) and 'create-incident' (mutate).

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 you have an incident ID and want details, but it does not explicitly state when to use this over alternatives like 'search-incidents' or 'get-incidents'. No when-not or prerequisite guidance is provided.

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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