Produce a structured OJP extraction template from raw job posting text. Returns a document skeleton with _EXTRACT_* annotations, a fieldConfidence list (high/medium/low per field), and a gaps list of information commonly missing from postings. The calling agent should fill in the skeleton using i...
Part of the Opentalentprotocol MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke ojp_parse_job_posting to trigger processes or run actions in Opentalentprotocol. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
ojp_parse_job_posting can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
ojp_parse_job_posting:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Opentalentprotocol policy for all 6 tools.
Agents calling execute-class tools like ojp_parse_job_posting have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
ojp_parse_job_posting is one of the high-risk operations in Opentalentprotocol. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Produce a structured OJP extraction template from raw job posting text. Returns a document skeleton with _EXTRACT_* annotations, a fieldConfidence list (high/medium/low per field), and a gaps list of information commonly missing from postings. The calling agent should fill in the skeleton using its reasoning over the text, then call ojp_validate_job_posting to verify the result.. It is categorised as a Execute tool in the Opentalentprotocol MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for ojp_parse_job_posting. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Opentalentprotocol MCP server.
ojp_parse_job_posting is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ojp_parse_job_posting 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 ojp_parse_job_posting. 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.
ojp_parse_job_posting is provided by the Opentalentprotocol MCP server (@opentalentprotocol/mcp-server). 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