Fetch a single AI job by id. Includes input_payload, output_payload, tokens, cost, model, duration, and user review status.
AI agents call wafle_ai_jobs_get to retrieve information from wafle MCP server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that queries and retrieves information about an AI job (metadata like input_payload, output_payload, tokens, cost, model, duration, and review status). No data is created, modified, deleted, or financial transactions are executed. The blast radius of misuse is minimal—an attacker could only gather information about jobs they have access to.
From the tool's definition Tool name contains 'get' and description states 'Fetch a single AI job by id', which retrieves existing data without modification or side effects.
Attacks that exploit this kind of access
Fetch a single AI job by id. Includes input_payload, output_payload, tokens, cost, model, duration, and user review status. It is categorised as a Read tool in the wafle MCP server MCP Server, which means it retrieves data without modifying state.
Register the wafle MCP server MCP server in PolicyLayer and add a rule for wafle_ai_jobs_get: 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 wafle MCP server. Nothing to install.
wafle_ai_jobs_get 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 wafle_ai_jobs_get 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 wafle_ai_jobs_get. 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.
wafle_ai_jobs_get is provided by the wafle MCP server MCP server (the33warehouse-tech/wafle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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