approve_consulting_document_revision
Approve and lock one exact proposal/SOW revision. Requires the separate consulting:approve scope and never publishes or shares it.
This record as markdown: /tools/com-meta-council-decision-intelligence/approve-consulting-document-revision.md
What approve_consulting_document_revision does on Meta Council
AI agents use approve_consulting_document_revision 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 |
|---|---|---|---|
document_id | string | Yes | |
expected_version | integer | Yes | |
expected_content_hash | string | Yes |
Parameters from the server's own tool schema.
Why approve_consulting_document_revision is rated Medium
This tool performs a state-modifying action (approval and locking) on consulting documents. While approval workflows are common business operations, the locking mechanism prevents subsequent modifications, making it a write operation with moderate blast radius—an AI agent approving wrong revisions could block legitimate document updates.
From the tool's definition Tool description states it "Approve and lock one exact proposal/SOW revision" — this modifies the state of a document by locking it, which is a reversible state change.
Attacks that exploit this kind of access
The rule that runs approve_consulting_document_revision 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 approve_consulting_document_revision, this is the rule to start with:
approve_consulting_document_revision 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 approve_consulting_document_revision call is checked against it from then on.
Questions about approve_consulting_document_revision
Approve and lock one exact proposal/SOW revision. Requires the separate consulting:approve scope and never publishes or shares it. 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.
approve_consulting_document_revision accepts 3 parameters: document_id, expected_version, expected_content_hash. Required: document_id, expected_version, expected_content_hash. 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 approve_consulting_document_revision: 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.
approve_consulting_document_revision 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 approve_consulting_document_revision 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 approve_consulting_document_revision. 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.
approve_consulting_document_revision 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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