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datadog-mcp-server

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create-fleet-schedule

Automate Datadog agent upgrades across a fleet by creating schedules with maintenance windows, target host queries, and recurrence rules.

Instructions

Create an automated schedule for fleet agent upgrades with maintenance windows

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the schedule
queryYesFilter query to select target hosts
ruleYesRecurrence rule for the schedule
statusNoSchedule status
versionToLatestNoNumber of versions behind latest to target (0 = latest)
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for disclosing behavioral traits. It only states the tool creates a schedule but omits side effects (e.g., whether it overwrites existing schedules), permissions required, or the response format. For a write operation, this lack of transparency is a significant gap.

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, front-loaded sentence that efficiently communicates the tool's purpose. Every word earns its place with no superfluous content.

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?

Given the absence of an output schema and the presence of fully described parameters, the description covers the basic purpose. However, it lacks behavioral and usage context, which is needed to fully equip an agent, especially given related sibling tools. It is adequate but not thorough.

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% description coverage for all 5 parameters, so the description is not expected to add much. It adds no additional meaning beyond what the schema provides, but because the schema is complete, the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates an automated schedule for fleet agent upgrades with maintenance windows. It specifies the resource (schedule) and purpose (upgrades), distinguishing it from generic schedule creation. However, it does not explicitly differentiate from sibling tools like trigger-fleet-schedule or create-fleet-deployment-upgrade, though the name and context provide some distinction.

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 such as trigger-fleet-schedule or update-fleet-schedule. An AI agent would have to infer usage solely from the tool name and context, which is insufficient for reliable selection.

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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