semantic_index
Build the local vector index over enabled Apple apps for semantic search — replaces any existing index; embeddings need GEMINI_API_KEY or the Swift bridge.
This record as markdown: /tools/io-github-heznpc-iconnect/semantic-index.md
What semantic_index does on Iconnect
AI agents invoke semantic_index to trigger actions in Iconnect. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why semantic_index is rated High
semantic_index triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
The rule that runs semantic_index safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Iconnect, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For semantic_index, this is the rule to start with:
semantic_index stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Iconnect, apply this rule, and every semantic_index call is checked against it from then on.
Questions about semantic_index
Build the local vector index over enabled Apple apps for semantic search — replaces any existing index; embeddings need GEMINI_API_KEY or the Swift bridge. It is categorised as a Execute tool in the Iconnect MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Iconnect MCP server in PolicyLayer and add a rule for semantic_index: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Iconnect. Nothing to install.
semantic_index is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the semantic_index rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for semantic_index. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
semantic_index is provided by the Iconnect MCP server (iconnect-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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