Medium Risk

update_salary

Update your salary/compensation details. IMPORTANT: For INR (currency code 2), pass values in lakhs (e.g., 20 for 20 lakhs). For all other currencies (USD, etc.), pass values in thousands (e.g., 400 for $400K). Use get_currencies to look up currency codes.

Part of the Jobgpt server.

update_salary can modify Jobgpt data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use update_salary to create or modify resources in Jobgpt. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call update_salary repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Jobgpt.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_salary": {
      "limits": [
        {
          "counter": "update_salary_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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

What does the update_salary tool do? +

Update your salary/compensation details. IMPORTANT: For INR (currency code 2), pass values in lakhs (e.g., 20 for 20 lakhs). For all other currencies (USD, etc.), pass values in thousands (e.g., 400 for $400K). Use get_currencies to look up currency codes.. It is categorised as a Write tool in the Jobgpt MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_salary? +

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

What risk level is update_salary? +

update_salary is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_salary? +

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

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

update_salary is provided by the Jobgpt MCP server (jobgpt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jobgpt tool call.

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