semantic_search_themes
Semantic search across the theme marketplace using bge-m3 embeddings (cosine similarity). Use when the brief is a natural-language description of industry + features (e.g.
This record as markdown: /tools/webcake-storefront/semantic-search-themes.md
What semantic_search_themes does on Webcake Storefront
AI agents call semantic_search_themes to retrieve information from Webcake Storefront without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why semantic_search_themes is rated Low
This tool retrieves and ranks theme information from a marketplace database based on semantic similarity. It has no side effects beyond returning search results. It does not create, modify, delete, execute code, or process financial operations. It is a straightforward read operation that queries existing data.
From the tool's definition Tool performs 'semantic search across the theme marketplace' — a query operation that retrieves theme data without modifying, deleting, or executing operations.
Attacks that exploit this kind of access
The rule that runs semantic_search_themes safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Webcake Storefront, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For semantic_search_themes, this is the rule to start with:
semantic_search_themes is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Webcake Storefront, apply this rule, and every semantic_search_themes call is checked against it from then on.
Questions about semantic_search_themes
Semantic search across the theme marketplace using bge-m3 embeddings (cosine similarity). Use when the brief is a natural-language description of industry + features (e.g. It is categorised as a Read tool in the Webcake Storefront MCP Server, which means it retrieves data without modifying state.
Register the Webcake Storefront MCP server in PolicyLayer and add a rule for semantic_search_themes: 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 Webcake Storefront. Nothing to install.
semantic_search_themes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the semantic_search_themes 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_search_themes. 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_search_themes is provided by the Webcake Storefront MCP server (webcake-storefront-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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