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ai-core/tool-calling

Isomorphic tool system: toolDefinition() with Zod schemas, .server() and .client() implementations, passing tools to both chat() on server and useChat/clientTools on client, tool approval flows with needsApproval and bound interrupts (resolveInterrupt), lazy tool discovery with lazy:true, rendering ToolCallPart and ToolResultPart in UI.

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SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

2 low severity findings. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The runtime path `/api/chat/route.ts` ingests outsider-authored free text via `const { messages } = await request.json()` and passes it directly into `chat({ ..., messages, tools: [...] })`, enabling indirect prompt injection through the user’s chat messages.

Report incorrect finding
Low

W012: Unverifiable external dependency detected (runtime URL that controls agent).

What this means

The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.

Why it was flagged

The skill calls createMCPClient/createMCPClients at runtime against external MCP endpoints (e.g. 'https://mcp.example.com/mcp', 'https://mcp.github.com/mcp', 'https://mcp.linear.app/mcp'), which discover and supply server-hosted tools that directly affect the agent's behavior and execute remotely, so these URLs are runtime dependencies that can control prompts/tool execution.

Repository
TanStack/ai
Audited
Security analysis
Snyk

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