update_portfolio_schedule
Replace the full definition of an owned report schedule using its current expected_revision. Preserve project_id from project_list when retaining project scope; omission or null selects portfolio scope. Pause with enabled=false; archive also disables, and restore paused. Editing an enabled schedu...
This record as markdown: /tools/com-meta-council-decision-intelligence/update-portfolio-schedule.md
What update_portfolio_schedule does on Meta Council
AI agents use update_portfolio_schedule to create or update resources in Meta Council, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meta Council environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
definition | object | Yes | |
request_id | string | Yes | |
schedule_id | string | Yes | |
expected_revision | integer | Yes |
Parameters from the server's own tool schema.
Why update_portfolio_schedule is rated Medium
An AI agent can call update_portfolio_schedule faster than any human can review: one bad instruction and it creates or modifies resources in Meta Council by the hundred, each call as confident as the last.
Risk signalsHigh parameter count (14 properties)
Attacks that exploit this kind of access
The rule that runs update_portfolio_schedule safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Council, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_portfolio_schedule, this is the rule to start with:
update_portfolio_schedule 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 Meta Council, apply this rule, and every update_portfolio_schedule call is checked against it from then on.
Questions about update_portfolio_schedule
Replace the full definition of an owned report schedule using its current expected_revision. Preserve project_id from project_list when retaining project scope; omission or null selects portfolio scope. Pause with enabled=false; archive also disables, and restore paused. Editing an enabled schedule starts at its next future occurrence. Reuse the exact request_id and request for recovery; an exact retry returns the original receipt, so read current state afterward. Requires tickets:write. It is categorised as a Write tool in the Meta Council MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_portfolio_schedule accepts 4 parameters: definition, request_id, schedule_id, expected_revision. Required: definition, request_id, schedule_id, expected_revision. The full parameter table on this page comes from the server's own tool schema.
Register the Meta Council MCP server in PolicyLayer and add a rule for update_portfolio_schedule: 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 Meta Council. Nothing to install.
update_portfolio_schedule 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 update_portfolio_schedule 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 update_portfolio_schedule. 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.
update_portfolio_schedule is provided by the Meta Council MCP server (https://meta-council.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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