Low Risk

get_job_results

Get the results of a finished PriceAPI job to be processed by the user. Args: job_id (str): The job ID to get results for token (str | None): Optional PriceAPI token. If not provided, falls back to URL parameters or PRICEAPI_TOKEN environment variable. Returns: dict: Job res...

Handles credentials or secrets (token)

Part of the Priceapi MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

asmaaziry19/priceapi_mcp Read Risk 2/5

AI agents call get_job_results to retrieve information from Priceapi 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 get_job_results 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.

asmaaziry19-priceapi-mcp.yaml
tools:
  get_job_results:
    rules:
      - action: allow

See the full Priceapi policy for all 6 tools.

Tool Name get_job_results
Category Read
MCP Server Priceapi MCP Server
Risk Level Low

Agents calling read-class tools like get_job_results have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the get_job_results tool do? +

Get the results of a finished PriceAPI job to be processed by the user. Args: job_id (str): The job ID to get results for token (str | None): Optional PriceAPI token. If not provided, falls back to URL parameters or PRICEAPI_TOKEN environment variable. Returns: dict: Job results data. It is categorised as a Read tool in the Priceapi MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_results? +

Add a rule in your Intercept YAML policy under the tools section for get_job_results. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Priceapi MCP server.

What risk level is get_job_results? +

get_job_results is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_job_results? +

Yes. Add a rate_limit block to the get_job_results 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.

How do I block get_job_results completely? +

Set action: deny in the Intercept policy for get_job_results. 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.

What MCP server provides get_job_results? +

get_job_results is provided by the Priceapi MCP server (asmaaziry19/priceapi_mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Priceapi

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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