Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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tessl review fix ./agent-langgraph-advanced/.claude/skills/add-tools/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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.
The runtime workflow only loads MCP tool definitions by calling `mcp_client.get_tools()` from configured Databricks MCP endpoints (via `url=.../api/2.0/mcp/...`) and does not describe ingesting arbitrary outsider-authored free text without selecting a specific tool/resource.
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.
The skill constructs and calls MCP server endpoints at runtime (e.g., f"{host}/api/2.0/mcp/genie/01234567-89ab-cdef" and https://mcp-my-server.cloud.databricks.com/mcp) and then calls mcp_client.get_tools(), meaning remote content from those URLs is fetched during runtime and provides the agent's tool definitions/instructions that directly control prompts.
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