feat(mcp): service_deployments, route_usage, ingest_freshness, db_query_volume and ingest_usage - #1233
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…est freshness serviceDeploymentsQuery groups the service-overview splice per commit with first and last seen, minute-exact when the hourly tier is left out. routeUsageQuery ranks HTTP endpoints across services from the operations rollups with first/last seen and an optional name search. ingestFreshnessQuery reports the newest timestamp per signal from the entry-point projection, logs and metric_catalog, so no branch scans raw spans or datapoints.
…ools Agents rebuilt these in run_sql with Map reads over raw traces that time out past a couple of days. service_deployments lists each service's commit SHAs with first/last seen, error rate, p50/p95 and which version is live, plus a newest-vs-previous comparison. route_usage reads HTTP endpoint volume and last seen over up to 90 days. ingest_freshness gives the newest received timestamp per signal with lag and the last hour with data, so silence can be told apart from an ingest stall.
dbQueryVolumeQuery ranks query shapes per service, db system and namespace with the same sealed-rollup plus raw-edge splice as serviceDbTopQueriesSQL, but without requiring a db system. The raw edge mirrors the MV write filter so both tiers count the same spans.
db_query_volume lists database query shapes by call volume across services and databases, with optional service, db_system and environment filters. ingest_usage reports spans, log records, metric datapoints and bytes per service from the hourly usage rollup, with org totals.
Maple review🟡 Confidence 3/5 · needs attention Warning This review ended early; what follows is what it established. Adds five read-only MCP tools — service_deployments, route_usage, ingest_freshness, ingest_usage and db_query_volume — over new rollup-spliced query-engine reads, with domain output schemas, registry wiring and benchmark fixtures. Tenant scoping and row schemas look right; one probe branch is missing its upper bound on the newest timestamp. The added test file
Findings🟠 Warning · F1 · Metrics branch of
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| Change | Kind | Observable | Evidence |
|---|---|---|---|
| ingest_freshness MCP tool | entrypoint | yes | Effect.fn("McpTool.ingestFreshness") handler annotates orgId and result.rowCount, following the existing MCP tool convention |
| service_deployments MCP tool | entrypoint | yes | Effect.fn("McpTool.serviceDeployments") annotates orgId, service, minutePrecision and result.rowCount (service-deployments.ts:61, :86) |
| route_usage MCP tool | entrypoint | yes | Effect.fn("McpTool.routeUsage") annotates orgId, service, sort and result.rowCount (route-usage.ts:44, :66) |
| db_query_volume MCP tool | entrypoint | yes | handler wraps the compiled query in withTenantExecutor and warehouseToMcpHandlers, like the sibling tools |
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apps/ai/src/mcp/tools/__tests__/service-activity-tools.test.ts
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Makisuo
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📝 WalkthroughWalkthroughAdds five MCP tools for service deployments, route usage, ingest freshness, ingest usage, and database query volume. Adds output schemas and warehouse query support, registers the tools, and adds tests for their outputs and query behavior. ChangesService activity reporting
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~50 minutes Change: Feature Sequence Diagram(s)sequenceDiagram
participant Client
participant DeploymentTool as service_deployments
participant DeploymentQuery as serviceDeploymentsQuery
participant Warehouse as Tenant-scoped warehouse
Client->>DeploymentTool: Request deployment versions
DeploymentTool->>DeploymentQuery: Pass time range and filters
DeploymentQuery->>Warehouse: Execute deployment rollup query
Warehouse-->>DeploymentTool: Return version metrics
DeploymentTool-->>Client: Return deployment results and comparison
Merge Risk: 🟡 Moderate · up to The new service_deployments tool can report no versions for older narrow windows. It can also omit services from the alphabetically later part of the list when a tenant has many deployments. Trace freshness can appear older than the newest span actually received. Fix the deployment issues before merging. Security Architecture ReviewSecurity architecture risk: 🔵 Low · up to The new reports are read-only and preserve organization-scoped access in the reviewed code. No new access bypass was established. Database query structure becomes easier to retrieve, while incomplete permission and prior-exposure evidence leaves some uncertainty. Retained concerns Security review detailsSecurity Blast Radius
Security Findings and Attack Paths
Trust Boundaries and Controls
Resilience and Maintainability Implications
Hardening Proposals
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 23.08% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 13 functions across 17 files. (1 skipped: 1 unsupported.) ✨ Finishing Touches 💡 1📝 Generate docstrings 💡
🧪 Generate unit tests (beta)
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Inline comments:
Review comments at @packages/query-engine/src/__sql_baseline__/catalog.sql:
- Around line 2958-2959: Update the `serviceDeploymentsQuery` builder in
`releases.ts` to cap deployment groups at 20 per service using ClickHouse’s
per-key limit while retaining the global 500-row limit. Regenerate the SQL
baseline so `serviceDeploymentsQuery:hourInterior` reflects the updated query.
- Around line 1473-1480: Update the traces probe query’s lastSeen calculation so
it uses a source or projection containing all spans for each trace, rather than
service_overview_spans, which can miss later spans. Preserve the existing
organization and timestamp filters.
Review comments at @packages/query-engine/src/ch/queries/releases.ts:
- Line 288: Update the tier selection for `grain` and `includeHourly` to account
for both window width and age, not only `opts.minutePrecision`. For historical
windows outside the minutely tier’s 90-day retention, select the retained hourly
tier or reject the request with a clear notice so deployed versions are not
omitted.
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📒 Files selected for processing (18)
apps/ai/src/mcp/resources/instructions.tsapps/ai/src/mcp/tools/__tests__/service-activity-tools.test.tsapps/ai/src/mcp/tools/db-query-volume.tsapps/ai/src/mcp/tools/ingest-freshness.tsapps/ai/src/mcp/tools/ingest-usage.tsapps/ai/src/mcp/tools/registry.tsapps/ai/src/mcp/tools/route-usage.tsapps/ai/src/mcp/tools/service-deployments.tspackages/domain/src/mcp-outputs/catalog.tspackages/domain/src/mcp-outputs/index.tspackages/domain/src/mcp-outputs/service-activity.tspackages/query-engine/src/__sql_baseline__/catalog.sqlpackages/query-engine/src/benchmark/builders.tspackages/query-engine/src/ch/index.tspackages/query-engine/src/ch/queries/liveness.tspackages/query-engine/src/ch/queries/releases.tspackages/query-engine/src/ch/queries/service-map.tspackages/query-engine/src/ch/queries/service-operations.ts
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service_deployments ranks versions inside each service and environment (20 most recently serving) before the global limit, flags truncation when a group hits the cap, and reads the hourly tier when a short window starts past the minutely retention. ingest_freshness takes trace freshness from service_operations_minutely, which counts every span, clamps metric_catalog LastSeen to end_time, and probes logs in a separate query so no union mixes a raw table with rollups.
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Maple review🟡 Confidence 3/5 · needs attention Warning This review ended early; what follows is what it established. Adds five read-only MCP tools (service_deployments, route_usage, ingest_freshness, db_query_volume, ingest_usage) with the query builders, output schemas and benchmark fixtures behind them. All are tenant-scoped and read existing rollups, so the change is safe to merge. The new test file was not read before the pass ended.
What was checked
Observability coverage: 5 of 5 changes observable
Files not reviewed (1)The review ended before it read these diffs, so nothing above vouches for them.
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1 participant
What
New read-only tools for questions agents rebuilt in run_sql again and again, all backed by rollups and pre-extracted columns:
service_deployments: per service, environment and commit: first/last seen, spans, error rate, p50/p95, live flag, and a newest vs previous comparison.route_usage:METHOD /routeendpoints with requests, error rate, p95, first/last seen, over up to 90 days.ingest_freshness: per signal receiving/delayed/stalled/none with lag, to tell a down service from a stalled ingest.db_query_volume: query shapes ranked by calls across services from the query-shape rollup.ingest_usage: spans, logs, datapoints and bytes per service from service_usage.Gaps that need a new MV and are not here: service.version and instance id on a span rollup.
Tests
service-activity-tools (new), registry.contract, registry, server-instructions; query-engine catalog and baseline; apps/ai typecheck.
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