post_job
Post a job and pay its x402 USDC posting toll under the local spend caps.
This record as markdown: /tools/1f4bc-agent/post-job.md
What post_job does on 1f4bc Agent
AI agents use post_job to create or update resources in 1f4bc Agent, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 1f4bc Agent environment.
Why post_job is rated Medium
An AI agent can call post_job faster than any human can review: one bad instruction and it creates or modifies resources in 1f4bc Agent by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs post_job safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 1f4bc Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For post_job, this is the rule to start with:
post_job stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 1f4bc Agent, apply this rule, and every post_job call is checked against it from then on.
Questions about post_job
Post a job and pay its x402 USDC posting toll under the local spend caps. It is categorised as a Write tool in the 1f4bc Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 1f4bc Agent MCP server in PolicyLayer and add a rule for post_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 1f4bc Agent. Nothing to install.
post_job is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the post_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 post_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.
post_job is provided by the 1f4bc Agent MCP server (Cem-Bas/1f4bc-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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