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ifr_explain_result

Return a human-readable explanation of a previously computed calculation. Pass the correlationId from any ifr_calculate or ifr_period_end_batch response (valid for 10 min). Returns a plain-language summary of the journal entries, IFRS paragraph references, and suggested next steps. FREE — no cred...

Part of the IfrCoworker server.

ifr_explain_result can trigger actions in IfrCoworker, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke ifr_explain_result to trigger processes or run actions in IfrCoworker. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

ifr_explain_result can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ifr_explain_result": {
      "limits": [
        {
          "counter": "ifr_explain_result_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full IfrCoworker policy for all 19 tools.

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These attack patterns abuse exactly the kind of access ifr_explain_result 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 ifr_explain_result only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ifr_explain_result tool do? +

Return a human-readable explanation of a previously computed calculation. Pass the correlationId from any ifr_calculate or ifr_period_end_batch response (valid for 10 min). Returns a plain-language summary of the journal entries, IFRS paragraph references, and suggested next steps. FREE — no credit charged.. It is categorised as a Execute tool in the IfrCoworker MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ifr_explain_result? +

Register the IfrCoworker MCP server in PolicyLayer and add a rule for ifr_explain_result: 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 IfrCoworker. Nothing to install.

What risk level is ifr_explain_result? +

ifr_explain_result is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ifr_explain_result? +

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

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

ifr_explain_result is provided by the IfrCoworker MCP server (https://mcp.ifrcoworker.com). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every IfrCoworker tool call.

Deterministic rules across all 19 IfrCoworker tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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