Tools
38 available tools
Search the tool definitions captured from the MCP server. The live list can vary with version, deployment, and credentials.
38 tools found.
Canvas agent invoke
Tool name:
canvas_agent_invokeKick off a single-turn run of the Honeycomb Canvas agent.
Canvas agent poll response
Tool name:
canvas_agent_poll_responsePoll for the result of a previously-issued canvas_agent_invoke call.
Create board
Tool name:
create_boardCreate a board (dashboard) with query, SLO, and text panels.
Create burn alert
Tool name:
create_burn_alertCreate a burn alert on an SLO.
Create marker
Tool name:
create_markerCreates a marker (a vertical annotation on charts) to mark a point or window in time, such as a deploy, incident, or config change.
Create recipient
Tool name:
create_recipientCreate a notification recipient (email, Slack, PagerDuty, or webhook) so it can be attached to triggers, SLO burn alerts, and Anomaly Detection.
Create slo
Tool name:
create_sloCreate an SLO (Service Level Objective) backed by an auto-created SLI derived column.
Create trigger
Tool name:
create_triggerCreate a trigger that fires alerts when a query result crosses a threshold.
Feedback
Tool name:
feedbackSubmit feedback about Honeycomb's MCP server to the agentic-intelligence team.
Find columns
Tool name:
find_columnsSearch for columns and calculated fields by intent across one or all datasets in an environment.
Find queries
Tool name:
find_queriesSearch query history and saved queries by intent; returns matching queries with their run PKs.
Get aiconversation
Tool name:
get_aiconversationFetch the full event timeline for a single AI conversation, identified by its OpenTelemetry gen_ai.conversation.id attribute value.
Get dataset
Tool name:
get_datasetGet dataset metadata and its full column schema (columns + calculated fields), sorted by most recent write activity.
Get dataset columns
Tool name:
get_dataset_columnsGet the full column schema for one dataset, with optional sample values for specific columns.
Get environment
Tool name:
get_environmentGet details for a specific environment, including its dataset list sorted by most recent activity.
Get query results
Tool name:
get_query_resultsRetrieve results and metadata from an existing query execution.
Get service map
Tool name:
get_service_mapGet a snapshot of service-to-service call dependencies for a specified time range.
Get signals
Tool name:
get_signalsReturns Anomaly Signals for the current team.
Get slos
Tool name:
get_slosList SLOs for the team, or fetch detailed status and graphs for a single SLO.
Get span details
Tool name:
get_span_detailsSummarize attributes and their common values observed on spans with a specific name.
Get trace
Tool name:
get_traceRetrieve all spans for a specific trace ID and render them as a waterfall.
Get triggers
Tool name:
get_triggersList triggers (alert rules) for the team, or fetch full configuration for a single trigger.
Get workspace context
Tool name:
get_workspace_contextCall this tool first to orient yourself in a Honeycomb workspace.
List aiconversations
Tool name:
list_aiconversationsDiscover recent AI agent conversations (gen_ai.conversation.id values) in an environment, ordered by total event count (most active first) with per-agent activity.
List boards
Tool name:
list_boardsList boards (saved dashboards) in an environment, or fetch one board's full contents by ID.
List recipients
Tool name:
list_recipientsList all pre-registered notification recipients (email, Slack, PagerDuty, webhook) for the team.
List spans
Tool name:
list_spansList span names in trace data, ranked by count, with how often each is a trace root and which dataset the count came from.
Migration guide
Tool name:
migration_guideVendor-specific guidance for migrating existing telemetry to Honeycomb without disrupting the vendor setup.
Record onboarding state
Tool name:
record_onboarding_stateRecord the current onboarding step.
Refinery docs
Tool name:
refinery_docsRead Honeycomb Refinery documentation.
Reset slo budget
Tool name:
reset_slo_budgetReset an SLO's error budget.
Run bubbleup
Tool name:
run_bubbleupRun BubbleUp analysis to find what makes a selected data subset different from the baseline.
Run query
Tool name:
run_queryRun an aggregate query or return a scoped set of raw rows from a Honeycomb dataset.
Semconv
Tool name:
semconvQuery the semantic convention registry: the latest embedded OTel semconv release merged with Honeycomb's overlay, plus the team's custom schema when one exists.
Update board
Tool name:
update_boardEdit an existing board (dashboard) in place.
Update burn alert
Tool name:
update_burn_alertUpdate a burn alert on an SLO.
Update slo
Tool name:
update_sloUpdate an existing SLO.
Update trigger
Tool name:
update_triggerUpdate an existing trigger.
Compatibility
Connect Honeycomb to the clients your teams already use
27 AI clients can connect to Honeycomb through Runlayer. Pick one for its setup steps and controls.
Why Runlayer
Why connect Honeycomb through Runlayer?
One approved path
Approve Honeycomb once and everyone gets it in the AI clients they already use. Runlayer holds the credentials, so nothing sits in client configuration.
Fine-grained policy
Control who can use each server, tool, and resource, and under which runtime conditions.
Runtime security
Scan tool inputs and outputs for prompt injection, credential exposure, PII, and data exfiltration, then alert, mask, or block.
Audit and observability
Trace every request across users, clients, tools, policies, scanner decisions, and downstream systems.
