Low Risk

calculate_savings

Calculate how much time and money a real estate agent saves switching to PrimaCoda. Args: deals_per_month: Number of transactions the agent closes per month. current_method: "human_tc" or "diy"

Part of the Transaction Coordinator server.

calculate_savings 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 calculate_savings to retrieve information from Transaction Coordinator 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 calculate_savings 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": {
    "calculate_savings": {}
  }
}

See the full Transaction Coordinator policy for all 11 tools.

Get this rule live on your own Transaction Coordinator 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 calculate_savings gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so calculate_savings 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 calculate_savings tool do? +

Calculate how much time and money a real estate agent saves switching to PrimaCoda. Args: deals_per_month: Number of transactions the agent closes per month. current_method: "human_tc" or "diy". It is categorised as a Read tool in the Transaction Coordinator MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on calculate_savings? +

Register the Transaction Coordinator MCP server in PolicyLayer and add a rule for calculate_savings: 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 Transaction Coordinator. Nothing to install.

What risk level is calculate_savings? +

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

Can I rate-limit calculate_savings? +

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

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

calculate_savings is provided by the Transaction Coordinator MCP server (https://primacoda.halinc.tech/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Transaction Coordinator tool call.

Deterministic rules across all 11 Transaction Coordinator tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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