find_similar_issues
Search an entire codebase for a regex bug pattern. Finds all occurrences of anti-patterns like bare excepts, hardcoded secrets, or missing null checks. Returns: matching files with line numbers, context snippets, and match count.
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What find_similar_issues does on Claude Engram
AI agents call find_similar_issues to retrieve information from Claude Engram without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why find_similar_issues is rated Low
This is a passive search and query tool that scans for pattern matches and returns results. It retrieves information without modifying, executing, or deleting any code or data. The severity is low because even if an AI agent misuses it by searching for sensitive patterns, the impact is limited to read access of existing codebase metadata.
From the tool's definition Tool performs search and retrieval operations: 'Search an entire codebase for a regex bug pattern. Finds all occurrences...
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs find_similar_issues safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Engram, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For find_similar_issues, this is the rule to start with:
find_similar_issues 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 Claude Engram, apply this rule, and every find_similar_issues call is checked against it from then on.
Questions about find_similar_issues
Search an entire codebase for a regex bug pattern. Finds all occurrences of anti-patterns like bare excepts, hardcoded secrets, or missing null checks. Returns: matching files with line numbers, context snippets, and match count. It is categorised as a Read tool in the Claude Engram MCP Server, which means it retrieves data without modifying state.
Register the Claude Engram MCP server in PolicyLayer and add a rule for find_similar_issues: 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 Claude Engram. Nothing to install.
find_similar_issues 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 find_similar_issues 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 find_similar_issues. 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.
find_similar_issues is provided by the Claude Engram MCP server (20alexl/claude-engram). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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