Record that payment has been sent for an ACCEPTED job. The job must be accepted by the human first. Payment amount must match or exceed the agreed price.
Part of the HumanPages Ai MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use mark_job_paid to create or modify resources in HumanPages Ai. 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 mark_job_paid repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach HumanPages Ai.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
mark_job_paid:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full HumanPages Ai policy for all 31 tools.
Agents calling write-class tools like mark_job_paid have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Record that payment has been sent for an ACCEPTED job. The job must be accepted by the human first. Payment amount must match or exceed the agreed price.. It is categorised as a Write tool in the HumanPages Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for mark_job_paid. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the HumanPages Ai MCP server.
mark_job_paid 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 mark_job_paid rule in your Intercept 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 Intercept policy for mark_job_paid. 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.
mark_job_paid is provided by the HumanPages Ai MCP server (human-pages-ai/humanpages). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept