search_jobs

THE RISK

Low Risk

Why search_jobs needs a policy

search_jobs performs a query operation that retrieves and lists job postings along with metadata (budget, client info, proposal count). No data is created, modified, deleted, or executed. The tool has no side effects beyond returning information.

From the tool's definition Tool description states it "Search[es] Upwork jobs" and "Returns job list with budget, client info, proposal count." These are retrieval operations with no modification or execution of external actions.

Documented attack patterns abuse exactly the kind of access search_jobs gives an agent:

POLICY

How to control search_jobs

PolicyLayer is an MCP gateway — it sits between your AI agents and Upwork, and nothing reaches the server without passing your rules. This is the rule we recommend for search_jobs:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_jobs": {}
  }
}

search_jobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Upwork — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Upwork tools

Write manual_login Connect to existing Chrome tab via CDP and save Upwork session cookies. Run connect-chrome Write save_session Alias for manual_login — re-save session from current Chrome tab. Write send_message Send a message in an Upwork conversation. Write submit_proposal Submit a proposal for an Upwork job. Call get_job_details first to get screening questions Write update_profile Update your Upwork profile fields: title, description/bio, hourly_rate, skills. Read analyze_job Score a job opportunity 0-100 across 5 dimensions: niche fit, client quality, budget fit, Read get_job_details Get full job details: description, screening questions, client history, budget. Call this Read get_messages Read Upwork messages. Without room_id: lists conversations. With room_id: reads full messa

All 11 Upwork tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about search_jobs

What does the search_jobs tool do? +

Search Upwork jobs. Optimized for n8n/automation niche. Returns job list with budget, client info, proposal count. It is categorised as a Read tool in the Upwork MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_jobs? +

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

What risk level is search_jobs? +

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

Can I rate-limit search_jobs? +

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

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

search_jobs is provided by the Upwork MCP server (zcrossoverz/upwork-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Upwork tool call.

Start from Upwork, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →