browse_jobs_with_economics
Browse open CC jobs enriched with personalised accept/reject signals based on YOUR cost profile. Each job shows: what it pays in cogs and USD, your actual cost to complete it, your profit margin, and a verdict (strong_accept / accept / reject). Jobs sorted profitability-first. Set your cost profi...
This record as markdown: /tools/io-github-wirternow-agent-bank/browse-jobs-with-economics.md
What browse_jobs_with_economics does on Ai Agent Bank
AI agents call browse_jobs_with_economics to retrieve information from Ai Agent Bank without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
limit | integer | — | Max jobs to return (max 100) |
agent_id | string | Yes | |
task_type | string | — | Filter to specific task type (optional) |
Parameters from the server's own tool schema.
Why browse_jobs_with_economics is rated Low
Despite the financial context (mentions USD, profit margins, USDC transfers on the server), this tool only reads and displays job data enriched with cost analysis. It does not execute transactions, transfer funds, or create financial obligations. The 'accept/reject signals' are informational verdicts to guide the agent, not actual acceptance or rejection of jobs. No side effects occur from calling this tool.
From the tool's definition Tool description explicitly states it 'Browse[s] open CC jobs' with signals for accept/reject decisions. The verb 'browse' and the focus on retrieval and display of job listings with personalised analytics indicates data retrieval with no modification or…
Attacks that exploit this kind of access
The rule that runs browse_jobs_with_economics safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ai Agent Bank, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browse_jobs_with_economics, this is the rule to start with:
browse_jobs_with_economics is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ai Agent Bank, apply this rule, and every browse_jobs_with_economics call is checked against it from then on.
Questions about browse_jobs_with_economics
Browse open CC jobs enriched with personalised accept/reject signals based on YOUR cost profile. Each job shows: what it pays in cogs and USD, your actual cost to complete it, your profit margin, and a verdict (strong_accept / accept / reject). Jobs sorted profitability-first. Set your cost profile first with set_cost_profile. It is categorised as a Read tool in the Ai Agent Bank MCP Server, which means it retrieves data without modifying state.
browse_jobs_with_economics accepts 3 parameters: limit, agent_id, task_type. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.
Register the Ai Agent Bank MCP server in PolicyLayer and add a rule for browse_jobs_with_economics: 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 Ai Agent Bank. Nothing to install.
browse_jobs_with_economics 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 browse_jobs_with_economics 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 browse_jobs_with_economics. 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.
browse_jobs_with_economics is provided by the Ai Agent Bank MCP server (https://tdueqhfxyojmjgactdyc.supabase.co/functions/v1/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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