similarity_search
Semantic similarity search using AI embeddings
This record as markdown: /tools/jrmatherly-mcp-context-forge/similarity-search.md
What similarity_search does on ContextForge MCP Gateway
AI agents call similarity_search to retrieve information from ContextForge MCP Gateway without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why similarity_search is rated Low
This tool performs a read-only search operation using embeddings to find semantically similar items. It queries data and returns results without side effects, state changes, or irreversible actions. The blast radius is minimal as it only retrieves information. Severity is low because misuse would be limited to unauthorized data access rather than modification or execution risks.
From the tool's definition Tool name 'similarity_search' and description 'Semantic similarity search using AI embeddings' indicate a retrieval/query operation that searches and returns matching results without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs similarity_search safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ContextForge MCP Gateway, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For similarity_search, this is the rule to start with:
similarity_search 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 ContextForge MCP Gateway, apply this rule, and every similarity_search call is checked against it from then on.
Questions about similarity_search
Semantic similarity search using AI embeddings. It is categorised as a Read tool in the ContextForge MCP Gateway MCP Server, which means it retrieves data without modifying state.
Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for similarity_search: 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 ContextForge MCP Gateway. Nothing to install.
similarity_search 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 similarity_search 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 similarity_search. 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.
similarity_search is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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