createTask
Create a task in a plan. Requires planId and title.
This record as markdown: /tools/io-stablebaseline-sb/createtask.md
What createTask does on Stable Baseline
AI agents use createTask to create or update resources in Stable Baseline, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Stable Baseline environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | string | — | Type. Default: task. Tasks created in plans are typed 'task' (friendly_id prefix TAS-). Override only if you want the row to appear as a non-task improvement (I |
title | string | Yes | |
planId | string | Yes | |
status | string | — | Initial status. Default: captured. |
phaseId | string | — | Phase to assign to. |
end_date | string | — | YYYY-MM-DD. |
owner_id | string | — | User UUID to assign as owner. MUTUALLY EXCLUSIVE with owner_team_id. Use listAssignablePrincipals(projectId, kind='user') to look up valid UUIDs. |
position | number | — | |
priority | string | — | Priority. Default: medium. |
wbs_code | string | — | |
checklist | array | — | Tick-box checklist shown above acceptance_criteria. The full array REPLACES the stored list on update, and array order = display order — to edit, fetch via getT |
start_date | string | — | YYYY-MM-DD. |
Parameters from the server's own tool schema.
Why createTask is rated Medium
This tool creates new task records within a plan, which is a write operation. The effect is reversible (tasks can be updated or deleted later). While it modifies organizational planning data, the blast radius is medium—misuse could create spurious tasks or disrupt workflows, but the operation itself is not destructive, does not execute arbitrary code, and does not involve financial transactions.
From the tool's definition Tool name 'createTask' and description 'Create a task in a plan' indicate creation of new data. The verb 'Create' and the action of adding a task to an existing plan represent reversible data modification.
Risk signalsHigh parameter count (23 properties)
Attacks that exploit this kind of access
The rule that runs createTask safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Stable Baseline, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For createTask, this is the rule to start with:
createTask stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Stable Baseline, apply this rule, and every createTask call is checked against it from then on.
Questions about createTask
Create a task in a plan. Requires planId and title. It is categorised as a Write tool in the Stable Baseline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
createTask accepts 12 parameters: type, title, planId, status, phaseId, end_date, owner_id, position, priority, wbs_code, checklist, start_date. Required: title, planId. The full parameter table on this page comes from the server's own tool schema.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for createTask: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Stable Baseline. Nothing to install.
createTask is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the createTask rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for createTask. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
createTask is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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