Medium Risk

update_company_job

Update an existing job posting on Himalayas. Only provide fields you want to change. For screening_questions, provide the full set — questions not included will be removed. Requires employer authentication.

Risk signalsHigh parameter count (21 properties)

Part of the Himalayas Remote Jobs server.

update_company_job can modify Himalayas Remote Jobs 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_company_job to create or modify resources in Himalayas Remote Jobs. 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_company_job 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 Himalayas Remote Jobs.

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

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

See the full Himalayas Remote Jobs policy for all 41 tools.

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These attack patterns abuse exactly the kind of access update_company_job 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 update_company_job 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_company_job tool do? +

Update an existing job posting on Himalayas. Only provide fields you want to change. For screening_questions, provide the full set — questions not included will be removed. Requires employer authentication.. It is categorised as a Write tool in the Himalayas Remote Jobs 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_company_job? +

Register the Himalayas Remote Jobs MCP server in PolicyLayer and add a rule for update_company_job: 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 Himalayas Remote Jobs. Nothing to install.

What risk level is update_company_job? +

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

Can I rate-limit update_company_job? +

Yes. Add a rate_limit block to the update_company_job 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_company_job completely? +

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

update_company_job is provided by the Himalayas Remote Jobs MCP server (https://mcp.himalayas.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Himalayas Remote Jobs tool call.

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