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10 changes: 9 additions & 1 deletion content/en/bits_ai/mcp_server/setup/_index.md
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### `get_datadog_flaky_tests`
*Toolset: **software-delivery***\
Searches Datadog [Test Optimization][25] for flaky tests and returns triage-ready details, including failure-rate stats, flaky state/category, ownership context (`codeowners`, `services`, `module`, `suite`), branch/SHA history, CI pipeline impact, and recent test-run metadata. Supports pagination with `page_cursor` and sorting by fields such as `failure_rate` or `pipelines_failed`.
Searches Datadog [Test Optimization][25] for flaky tests and returns triage details (failure rate, category, owners, history, CI impact), with pagination and sorting.

- Find active flaky tests for the checkout service owned by `@team-abc`, sorted by failure rate.
- Show flaky tests on branch `main` for repo `github.com/org/repo`, most recent first.
- List flaky tests in the `timeout` category with high failure rate (50%+) so I can prioritize fixes.

### `aggregate_datadog_test_events`
*Toolset: **software-delivery***\

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Aggregates Datadog Test Optimization events to quantify reliability and performance trends with aggregation functions, optional metrics, group-by facets, and configurable test levels.

- Count the number of failed tests over the last week, grouped by branch.
- Show me the 95th-percentile duration for each test suite to identify the slowest ones.

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Avoid first-person pronouns such as 'me'.
- Count all passing and failing tests, grouped by code owners.

## Context efficiency

The Datadog MCP Server is optimized to provide responses in a way that AI agents get relevant context without being overloaded with unnecessary information. For example:
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