search_code_examples
AI agents call search_code_examples to retrieve information from Grounded Code MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves code examples from a local knowledge base without modifying, executing, or deleting data. It performs a read-only search operation consistent with the server's stated purpose of providing 'retrieval access' to trusted sources.
From the tool's definition Tool name 'search_code_examples' indicates retrieval of code examples. Server purpose is 'retrieval access' to a 'personal knowledge base'.
Attacks that exploit this kind of access
search_code_examples. It is categorised as a Read tool in the Grounded Code MCP MCP Server, which means it retrieves data without modifying state.
Register the Grounded Code MCP server in PolicyLayer and add a rule for search_code_examples: 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 Grounded Code MCP. Nothing to install.
search_code_examples 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 search_code_examples 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 search_code_examples. 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.
search_code_examples is provided by the Grounded Code MCP server (michaelalber/grounded-code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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