Tools Reference

The following tools can be specified in the tools.list field of an agent YAML. Use allowlist mode to restrict an agent to only the tools it needs.


Filesystem

Tool
Description

read_file

Read the contents of a file in the repo

write_file

Write or overwrite a file in the repo

search_files_and_directories

List and navigate the repo file structure

ripgrep_search

Fast text search across files


Web

Tool
Description

execute_web_search

Search the web for current information

extract_url_content

Fetch and read the content of a URL

perplexity_search

AI-powered web search via Perplexity


SQL & Terminal

Tool
Description

run_sql_query

Execute a SQL query against the connected warehouse

run_terminal_command

Run a shell command (e.g. dbt™ commands)

get_snowflake_query_performance_stats

Deep-dive into a specific Snowflake query by ID

get_bigquery_query_performance_stats

Deep-dive into a specific BigQuery job by its ID


Orchestration

Tool
Description

invoke_agent

Spawn a child agent defined in agents_squad

notify_parent_session

Wake a parent agent waiting on a callback

run_subagent

Run a lightweight sub-task without a full agent pod


Integrations

Tool
Description

post_slack_message

Post a message to a Slack channel

get_linear_issue

Read a single Linear issue by ID (requires Linear integration)

list_linear_issues

List Linear issues filtered by team, assignee, workflow state, label or priority (requires Linear integration)


Bolt

The background agent can now both inspect and trigger / retry Bolt schedules and runs. Triggered runs go through Paradime's normal scheduler — custom commands are validated server-side before dispatch, so an agent cannot run arbitrary shell.

Tool
Description

list_bolt_schedules

List active Bolt schedules in the workspace (name, UUID, cron, owner, commands). Use first to discover valid schedule_name_str values.

get_bolt_run_logs

Fetch AI-generated summaries of failed commands from a Bolt run. Pass run_id to inspect a specific run, or schedule_name_str to get the latest finished run of a named schedule.

trigger_bolt_schedule_run

Trigger a Bolt schedule run by name. Optional commands to override the schedule's commands (validated server-side); optional branch to override the git branch. Returns the new run_id.

retry_bolt_run

Retry a specific failed Bolt run by run_id. Creates a new run that resumes from the failed command; the original run is unchanged.

retry_latest_bolt_schedule_run

Retry the latest failed run of a Bolt schedule by name, without needing to know the run ID. Returns the new run_id.

Typical pattern: list_bolt_schedulestrigger_bolt_schedule_run (or retry_latest_bolt_schedule_run) → get_bolt_run_logs with the returned run_id to inspect outcome.

Data Warehouse

Warehouse tools are automatically available based on your workspace's connected data warehouse. Supported warehouses:

  • Snowflake

  • BigQuery

  • Redshift

  • Databricks

  • Trino

  • SQL Server

  • ClickHouse

  • Microsoft Fabric

  • YAML Configuration — How to use tools.mode and tools.list

  • Agent-to-Agent Delegation — Using invoke_agent and notify_parent_session

  • Examples — See tutorials on how to get started deploying agents

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