Score a job opportunity 0-100 across 5 dimensions: niche fit, client quality, budget fit, competition, clarity. Returns grade (A+/A/B/C/D/F), recommendation (APPLY NOW / APPLY / CONSIDER / SKIP / AVOID), suggested bid, selling points.
AI agents call analyze_job to retrieve information from Upwork without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
analyze_job performs read-only analysis of job postings. It retrieves job information, applies scoring logic, and returns analysis results without creating, modifying, deleting, or executing any actions. Even though it provides recommendations for user decision-making, the tool itself performs no side effects.
From the tool's definition Tool description explicitly states it 'Score[s] a job opportunity' and 'Returns grade...recommendation...suggested bid, selling points.' These are analytical outputs with no modification of data, no execution of external operations, and no financial…
Documented attack patterns abuse exactly the kind of access analyze_job gives an agent:
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 analyze_job:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_job": {}
}
}analyze_job is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Score a job opportunity 0-100 across 5 dimensions: niche fit, client quality, budget fit, competition, clarity. Returns grade (A+/A/B/C/D/F), recommendation (APPLY NOW / APPLY / CONSIDER / SKIP / AVOID), suggested bid, selling points. It is categorised as a Read tool in the Upwork MCP Server, which means it retrieves data without modifying state.
Register the Upwork MCP server in PolicyLayer and add a rule for analyze_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 Upwork. Nothing to install.
analyze_job is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_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.
Set action: deny in the PolicyLayer policy for analyze_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.
analyze_job 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.
Start from Upwork, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
11 Upwork tools catalogued and risk-classified — across an index of 43,000+ MCP servers.