Dactic

• list_agents — List the Dactic agents you (the signed-in user) have deployed, newest first. Returns each agent's id, name, platform and status. Use load_agent to run one or ge
• get_agent — Get one of your Dactic agents by id: its name, platform, status, complete instructions and every skill (name, description, full procedure). Never returns anothe
• load_agent — Load one of your Dactic agents (by agent_id or exact agent_name) so you can run it in this chat: returns its complete instructions and skills. Follow them exact
• invoke_agent — Run one of your deployed Dactic agents. Claude agents start a Managed Agent session; Monday agents are run by Monday's own board automation. The response always
• resolve_terms — Look up what company-specific terms mean, from your organization's confirmed Dactic terminology only. Terms that aren't confirmed come back in gaps; never guess
• check_freshness — Is my Dactic knowledge up to date? Reports each surface (app sync, knowledge, terminology, playbook, department policies, skills, and optionally one agent) as f
• get_policy — Get your department's current policies with their source document. With query: the policies that apply to it (all of them when your department has few, else the
• list_skills — List your active Dactic skills (procedures derived from your interviews). disclosure_tier L1 returns a catalog; L2/L3 add the procedure. Use get_skill for one s
• get_skill — Get one of your Dactic skills by id, with its full procedure at disclosure_tier L3.
• ask_knowledge — Answer a question from your own Dactic context: matches holds evidence from your synced work data and current department policies related to the question; your_
• get_context_bundle — Get everything a task needs from Dactic in one call; use it before doing a task, especially when running an agent. With agent_id: that agent's complete instruct
• get_user_context — Your own Dactic profile for personalising answers: job title, team, department and role; work context (role, guardrails, preferences); knowledge files (paginate
• get_knowledge_provenance — Where did that come from? For refs returned by other Dactic tools (1-20), describes each item's source and a confidence of high, medium or low from a fixed rubr
• submit_agent_feedback — File feedback about one of your own Dactic agents (e.g. 'it keeps CC'ing finance'). Quote the user's words in detail. First call without confirmation_code: you
• check_against_policy — Advisory check of a draft reply, plan or action against your department's Dactic policies. Returns findings that quote the policy and the draft verbatim, with a
• get_skill_usage — How often your Dactic skills were listed and loaded by AI clients (ChatGPT, Claude…) over the last 7, 30 or 90 days, how many live agents use each, and a sugges
• synthesize_agent — Draft a new Dactic agent for a task the user describes, built only from the user's own Dactic skills, policies and work context. Runs in the background: it retu
• create_agent_from_process — Draft a new Dactic agent, and the new skills it needs, from a process the user describes in this chat — use this when the user's existing skills don't cover the
• get_task_status — Status of a background task you started (e.g. synthesize_agent): queued, running, succeeded (with its result) or failed (with error_message). Only your own task
• search — Search your Dactic knowledge (your skills, agents and playbooks, and your organization's confirmed terminology, plus current department policies). Returns resul
• fetch — Fetch the full text of one Dactic item by the id search returned, with a link to it.
• get_usage — Your Dactic AI usage (tokens by operation) over the last N days; scope=org is for org admins.
• get_sync_status — Report recorded sync progress, last successful sync, approved source coverage and safe recovery guidance. Credential linkage is not proof of current access.
• get_feedback_status — Follow the recorded processing/application state of your submitted agent feedback. No immediate agent change is implied.
• recommend_agent — Match a task to accessible deployed agents by their stored instructions and skills. Returns candidate evidence and limitations; never runs or creates an agent.
• compare_agent_versions — Compare two stored artifact versions of the same accessible agent/platform, with instruction diffs and skill additions/removals. Missing guardrails/parameters r
• find_context_gaps — Assess task preparation using available knowledge, skills, policies, terminology and sync readiness. Returns blocking/nonblocking gaps; unknown requirements or
• get_entity_context — Follow bounded explicit stored links from an approved board, accessible agent/project or confirmed term. Returns entities, relationship bases, citations and mis
• get_context_delta — Retrieve added/updated/removed permitted knowledge and published policies since an actor-bound snapshot cursor. Omit cursor for a complete bounded baseline. Exp
• retrieve_similar_cases — Find comparable recent runs or resolved feedback owned by you. Returns recorded summaries/outcomes, citations and uncertainty; missing actions/outcomes remain u
• query_work_dataset — Query the approved synced Monday item view with supported scalar filters, sorting, grouping and count/sum aggregation. Fields are base identifiers or column:<st
• guide_workflow — Build advisory human-reviewed workflow options using accessible agents, context gaps, connection/sync readiness and provisional platform capabilities. Separates
• recommend_new_agents — After confirming the user's goal, save a new recommendation iteration containing validated Claude draft proposals from their own skills/context. Optional priori
• deploy_agent — First deployment of your selected saved draft. Call without confirmation_code for a preview, show it to the user and obtain authorization, then repeat the same

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