archive_saved_view

SERVERMeta Council SOURCEhttps://meta-council.com/mcp

Medium RISK CLASS

Category Write

Parameters 21 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-meta-council-decision-intelligence/archive-saved-view.md

WHAT IT DOES

What archive_saved_view does on Meta Council

AI agents use archive_saved_view 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
`view_id`	string	Yes	The view's id, from list_saved_views.
`expected_revision`	integer	—	Current definition_revision, required to configure a scorecard or change any previously enrolled view. On conflict or uncertain reply, read current state and de

Parameters from the server's own tool schema.

RISK

Why archive_saved_view is rated Medium

An AI agent can call archive_saved_view 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs archive_saved_view 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 archive_saved_view, this is the rule to start with:

archive_saved_view Rate-limited

archive_saved_view 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "archive_saved_view": {
      "limits": [
        {
          "counter": "archive_saved_view_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Meta Council, apply this rule, and every archive_saved_view call is checked against it from then on.

FAQ

Questions about archive_saved_view

What does the archive_saved_view tool do? +

Retire one of YOUR OWN saved views without destroying it: it drops out of the default listing and execute_saved_view refuses it, but its definition is kept and restore_saved_view brings it back unchanged. Prefer this over delete_saved_view. Idempotent -- archiving twice keeps the original archive time. Archiving is your own working state and does not hide the view from a team it is shared with. Requires authentication and the tickets:write scope. 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.

What parameters does archive_saved_view accept? +

archive_saved_view accepts 2 parameters: view_id, expected_revision. Required: view_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on archive_saved_view? +

Register the Meta Council MCP server in PolicyLayer and add a rule for archive_saved_view: 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 archive_saved_view? +

archive_saved_view is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit archive_saved_view? +

Yes. Add a rate_limit block to the archive_saved_view 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 archive_saved_view completely? +

Set action: deny in the PolicyLayer policy for archive_saved_view. 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 archive_saved_view? +

archive_saved_view 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.

KEEP EXPLORING

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