Medium Risk

post_job_public

Post a job on Himalayas without an account. Provide your email and company details. Payment is required — a Stripe checkout URL will be returned. No authentication needed.

Risk signalsHigh parameter count (14 properties)

Part of the Himalayas Remote Jobs server.

post_job_public 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 post_job_public 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 post_job_public 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": {
    "post_job_public": {
      "limits": [
        {
          "counter": "post_job_public_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 post_job_public 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 post_job_public 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 post_job_public tool do? +

Post a job on Himalayas without an account. Provide your email and company details. Payment is required — a Stripe checkout URL will be returned. No authentication needed.. 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 post_job_public? +

Register the Himalayas Remote Jobs MCP server in PolicyLayer and add a rule for post_job_public: 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 post_job_public? +

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

Can I rate-limit post_job_public? +

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

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

post_job_public 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.

Deterministic rules across all 41 Himalayas Remote Jobs tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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