High-risk tools in AiPayGen
7 of the 106 tools in AiPayGen are classified as high risk. This page profiles those tools specifically, with recommended policy actions and the attack patterns that target them.
Every operation listed below is an action PolicyLayer recommends controlling at the transport layer. Open any tool to see the full profile, risk score, and YAML policy snippet.
Tools at high risk
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batchExecute 4/5Run up to 5 independent operations in one call. Each operation: {"endpoint": "research", "input": {"topic": "AI"}} Valid endpoints: research, summarize, analyze, t...
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execute_skillExecute 3/5Execute a specific skill by name. Use search_skills or list_skills to discover available skills.
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invoke_catalog_apiExecute 3/5Actually call a catalog API and return its response. Get api_id from browse_catalog first. endpoint is the path to hit. params is a JSON string of query parameters ...
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parse_csvExecute 3/5Analyze CSV data and optionally answer questions about it. Returns columns, row count, and insights.
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run_agentExecute 3/5Run a custom agent by ID with optional input text.
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run_python_codeExecute 4/5Execute Python code in a sandboxed subprocess. Returns stdout, stderr, returncode. Imports, file I/O, network access, and OS commands are blocked.
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transformExecute 3/5Transform text with any instruction: rewrite, reformat, expand, condense, change tone.
Attacks that target this class
High-risk tools in any server share these documented attack patterns. Each links to the full case and the defensive policy.
More on AiPayGen
Enforce policy on AiPayGen
One command generates a policy scaffold for every server in your MCP config.
npx -y @policylayer/intercept init