Audit whether your agents trust tool results blindly

Overview

A prompt from Michael Fenech, written for a Grok Bot acting as chief of staff, that checks the agents and workflows it can see for places where a tool call that succeeds is taken as proof the data is right. It looks for key decisions, unverified prices, quantities and dates, and actions that would do damage if the data were wrong, then proposes checks and points where the agent must halt. Findings are listed per agent and tool with the existing safeguard and the fix, the top five fixes are ranked, and nothing is changed without your approval.

TOOL RESPONSE RELIABILITY AUDIT Review the agents and workflows you can inspect that use external tools, APIs, connected apps or browser data. 1 - Identify which workflows make important decisions using returned information. 2 - Find where a successful tool response is treated as proof the information is correct. 3 - Check whether critical prices, quantities, dates and other values are independently verified. 4 - Identify actions that could cause damage if the returned information were wrong. 5 - Recommend verification rules and stop conditions for the highest-risk workflows. For each finding, show the agent, tool, potential failure, existing safeguard and recommended fix. Separate verified findings from risks you couldn't inspect. Rank the five most important fixes. Don't change any workflows without my approval.

Alternatives

Agent Tool Router JSONChoose the next agent tool call from a user goal and available schemas, returning arguments in JSON.Agent platform

Concrete-Results Approval GateRequire agent work to show concrete results before treating it as progress.Agent platform

Detect what a user wants and plan the responseThis prompt reads what a user writes, works out their intent, and maps out the steps or suggestions that move them toward their goal. It is short and can serve as the planning step inside an agent.Agent platform

Harmful Request Y/N GateClassify a request as harmful or safe and return the required Y/N decision.Agent platform

Route Data Queries to Specialist AgentsRoute a data question to processing, analysis, or visualization specialist agents.Agent platform

Security review checklist for ai agentsThis prompt writes a security review checklist for five kinds of ai agents: chat assistants, autonomous agents, text generation apps, chatflows, and workflows. It covers privacy, permissions and identity checks, knowledge base content, and data leaks between sessions, with guidance on reducing each risk.Agent platform

Audit whether your agents trust tool results blindly

Overview

Use cases

Can AI?

Alternatives