Tavily (Composio MCP) — agentic threat model
Tavily (Composio MCP) acts as an information-retrieval bridge, presenting a moderate risk profile dominated by downstream prompt injection via untrusted web search results and potential API key exposure through Composio's managed authentication layer.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.30 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — The agent relies on external LLMs to consume its search outputs. The primary threat is indirect prompt injection where adversarial web content retrieved by Tavily manipulates the calling foundation model's behavior.
The agent performs real-time web scraping and summarization. The primary threat is data poisoning of the context window, where malicious web pages are ingested, parsed, and served as trusted context to the agent framework.
Wraps Tavily Search API as Model Context Protocol (MCP) tools. Threat includes insecure tool integration where the orchestrating framework fails to sanitize the search results, leading to downstream execution of malicious payloads contained in the search snippets.
Composio manages the authentication and hosts the MCP connection. The risk surface includes the exposure or compromise of the managed Tavily API keys and potential SSRF or network-level abuse if the scraping infrastructure is not properly sandboxed.
Not certain from the listing — There is no mention of built-in guardrails, content filtering, or anomaly detection on the incoming search results before they are formatted and returned to the client application.
Authentication is managed by Composio. The primary risk is the delegation of credential management to a third-party platform, requiring robust access controls and audit logging to prevent unauthorized tool invocation.
As an MCP tool, this agent is designed to be called by other agents. A compromised or rogue orchestrator agent could abuse this tool to perform denial-of-service on the API, or use it as an extraction channel to exfiltrate data via search queries.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).