New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

list_portfolio_schedule_revisions

Read immutable definition revisions of one owned report schedule, including paused or archived schedules. Newest revision first; follow next_before_revision while has_more. No capture or state change. Requires tickets:read.

SERVERMeta Council SOURCEhttps://meta-council.com/mcp
Low RISK CLASS
Category Read
Parameters 31 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-meta-council-decision-intelligence/list-portfolio-schedule-revisions.md

What list_portfolio_schedule_revisions does on Meta Council

AI agents call list_portfolio_schedule_revisions to retrieve information from Meta Council without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
limit integer —
schedule_id string Yes
before_revision integer —

Parameters from the server's own tool schema.

Why list_portfolio_schedule_revisions is rated Low

Even though list_portfolio_schedule_revisions only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about list_portfolio_schedule_revisions

What does the list_portfolio_schedule_revisions tool do? +

Read immutable definition revisions of one owned report schedule, including paused or archived schedules. Newest revision first; follow next_before_revision while has_more. No capture or state change. Requires tickets:read. It is categorised as a Read tool in the Meta Council MCP Server, which means it retrieves data without modifying state.

What parameters does list_portfolio_schedule_revisions accept? +

list_portfolio_schedule_revisions accepts 3 parameters: limit, schedule_id, before_revision. Required: schedule_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_portfolio_schedule_revisions? +

Register the Meta Council MCP server in PolicyLayer and add a rule for list_portfolio_schedule_revisions: 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.

What risk level is list_portfolio_schedule_revisions? +

list_portfolio_schedule_revisions is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_portfolio_schedule_revisions? +

Yes. Add a rate_limit block to the list_portfolio_schedule_revisions 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.

How do I block list_portfolio_schedule_revisions completely? +

Set action: deny in the PolicyLayer policy for list_portfolio_schedule_revisions. 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.

What MCP server provides list_portfolio_schedule_revisions? +

list_portfolio_schedule_revisions 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.

More on Meta Council, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Meta Council's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.