modify_proposal
Adjust a pending proposal WITHOUT launching it: pass modifications (titles, target_prospect_ids, campaign_name, campaign_description) to re-select prospects and regenerate the campaign workflow. The proposal stays pending so it can be reviewed and approved later. Returns the updated {data: Signal...
This record as markdown: /tools/digital-crew-technologies-max-mcp-server/modify-proposal.md
What modify_proposal does on Max MCP Server
AI agents use modify_proposal to create or update resources in Max MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Max MCP Server environment.
Why modify_proposal is rated Medium
This tool creates or modifies data reversibly without deleting it or executing arbitrary code. It updates proposal metadata and workflow parameters that can be further edited or discarded before approval. While it affects campaign state, the modification is non-destructive and can be undone by additional edits.
From the tool's definition Tool description explicitly states 'Adjust a pending proposal' and 'pass modifications' to 'regenerate the campaign workflow'.
Attacks that exploit this kind of access
The rule that runs modify_proposal safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Max MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For modify_proposal, this is the rule to start with:
modify_proposal 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 Max MCP Server, apply this rule, and every modify_proposal call is checked against it from then on.
Questions about modify_proposal
Adjust a pending proposal WITHOUT launching it: pass modifications (titles, target_prospect_ids, campaign_name, campaign_description) to re-select prospects and regenerate the campaign workflow. The proposal stays pending so it can be reviewed and approved later. Returns the updated {data: SignalProposal}. Fails with 409 if the proposal is not pending, or 404 if not found. It is categorised as a Write tool in the Max MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Max MCP Server MCP server in PolicyLayer and add a rule for modify_proposal: 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 Max MCP Server. Nothing to install.
modify_proposal 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 modify_proposal 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 modify_proposal. 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.
modify_proposal is provided by the Max MCP Server MCP server (digital-crew-technologies/max-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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