audit_batch

Audit code for quality issues. Two modes: pass file_paths (paths or globs like

SERVERClaude Engram SOURCE20alexl/claude-engram

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/20alexl-claude-engram/audit-batch.md

WHAT IT DOES

What audit_batch does on Claude Engram

AI agents call audit_batch 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.

RISK

Why audit_batch is rated Low

Auditing code for quality issues is a read-only operation—it analyzes and reports findings without side effects. No data is modified, deleted, or executed. The tool retrieves information about code quality but does not alter the codebase or trigger external operations. This falls squarely in the 'Read' category with low severity risk.

From the tool's definition Tool name 'audit_batch' and description 'Audit code for quality issues' indicates static analysis/inspection of code. The action is to examine and report on code quality without modifying, deleting, or executing code.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs audit_batch 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 audit_batch, this is the rule to start with:

audit_batch Allowed

audit_batch is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "audit_batch": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Engram, apply this rule, and every audit_batch call is checked against it from then on.

FAQ

Questions about audit_batch

What does the audit_batch tool do? +

Audit code for quality issues. Two modes: pass file_paths (paths or globs like. It is categorised as a Read tool in the Claude Engram MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on audit_batch? +

Register the Claude Engram MCP server in PolicyLayer and add a rule for audit_batch: 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.

What risk level is audit_batch? +

audit_batch is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit audit_batch? +

Yes. Add a rate_limit block to the audit_batch 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.

How do I block audit_batch completely? +

Set action: deny in the PolicyLayer policy for audit_batch. 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.

What MCP server provides audit_batch? +

audit_batch 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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