Low Risk

request_proposal

Triggers a formal Agrus proposal workflow. Creates a contact in Agrus's HubSpot CRM tagged with lead source 'agrus_mcp' and a verbatim note containing the scope summary. A human at Agrus replies by email within 24 hours (business days) with a one-paragraph engagement recommendation and a calendar...

Part of the Agrus Ai — Enterprise AI Agency server.

request_proposal is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call request_proposal to retrieve information from Agrus Ai — Enterprise AI Agency without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though request_proposal only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "request_proposal": {}
  }
}

See the full Agrus Ai — Enterprise AI Agency policy for all 7 tools.

Get this rule live on your own Agrus Ai — Enterprise AI Agency server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access request_proposal gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so request_proposal only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the request_proposal tool do? +

Triggers a formal Agrus proposal workflow. Creates a contact in Agrus's HubSpot CRM tagged with lead source 'agrus_mcp' and a verbatim note containing the scope summary. A human at Agrus replies by email within 24 hours (business days) with a one-paragraph engagement recommendation and a calendar option. Use this when the buyer (human or AI agent acting on their behalf) wants to formally engage Agrus — not for exploratory scoping.. It is categorised as a Read tool in the Agrus Ai — Enterprise AI Agency MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on request_proposal? +

Register the Agrus Ai — Enterprise AI Agency MCP server in PolicyLayer and add a rule for request_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 Agrus Ai — Enterprise AI Agency. Nothing to install.

What risk level is request_proposal? +

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

Can I rate-limit request_proposal? +

Yes. Add a rate_limit block to the request_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.

How do I block request_proposal completely? +

Set action: deny in the PolicyLayer policy for request_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.

What MCP server provides request_proposal? +

request_proposal is provided by the Agrus Ai — Enterprise AI Agency MCP server (https://mcp.agrus.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agrus Ai — Enterprise AI Agency tool call.

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