Skip to content

DBMON-6401: Rename DBM MCP tools in MCP server docs #35824

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
joelmarcotte merged 1 commit into from
Apr 8, 2026
+2 −2
Merged

DBMON-6401: Rename DBM MCP tools in MCP server docs #35824

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions content/en/bits_ai/mcp_server/_index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -511,7 +511,7 @@ Searches for Datadog users by email, name, or handle. Useful for finding the rig

- Find the Datadog user account for jane.doe@example.com.

### `search_datadog_dbm_plans`
### `search_datadog_database_plans`
*Toolset: **dbm***\
*Permissions Required: `Database Monitoring Read`*\
Searches [Database Monitoring][26] query execution plans, which show how the database engine executes queries, including index usage, join strategies, and cost estimates. Use this to analyze query performance and identify optimization opportunities.
Expand All @@ -520,7 +520,7 @@ Searches [Database Monitoring][26] query execution plans, which show how the dat
- Find query plans with `@db.plan.type:explain_analyze` for the production database.
- Get execution plans for queries by `@db.user:app_user` with duration greater than 1 second.

### `search_datadog_dbm_samples`
### `search_datadog_database_samples`
*Toolset: **dbm***\
*Permissions Required: `Database Monitoring Read`*\
Searches [Database Monitoring][26] query samples, which represent individual query executions with performance metrics. Use this to analyze database activity patterns, identify slow queries, and investigate database performance issues.
Expand Down
Loading