Make a job offer to a listing applicant. This creates a standard job from the listing and notifies the human. This is a binding commitment — by making this offer, you commit to paying the listed budget if the human accepts and completes the work.
Part of the HumanPages Ai MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call make_listing_offer to retrieve information from HumanPages Ai without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though make_listing_offer only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
make_listing_offer:
rules:
- action: allowSee the full HumanPages Ai policy for all 31 tools.
Agents calling read-class tools like make_listing_offer have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Make a job offer to a listing applicant. This creates a standard job from the listing and notifies the human. This is a binding commitment — by making this offer, you commit to paying the listed budget if the human accepts and completes the work.. It is categorised as a Read tool in the HumanPages Ai MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for make_listing_offer. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the HumanPages Ai MCP server.
make_listing_offer 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 make_listing_offer 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 make_listing_offer. 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.
make_listing_offer 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