fs_utils.c
AI agents call fs_utils.c to retrieve information from CodeBadger without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The CodeBadger server is a static analysis tool using Code Property Graphs. Sibling tools perform queries and analysis (find_*, get_*) without side effects. 'fs_utils.c' appears to be a utility module supporting code browsing and analysis operations, consistent with Read category.
From the tool's definition Tool name 'fs_utils.c' and sibling tools on CodeBadger server (find_taint_sinks, find_taint_sources, find_bounds_checks, etc.) indicate static code analysis operations.
Attacks that exploit this kind of access
fs_utils.c. It is categorised as a Read tool in the CodeBadger MCP Server, which means it retrieves data without modifying state.
Register the CodeBadger MCP server in PolicyLayer and add a rule for fs_utils.c: 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 CodeBadger. Nothing to install.
fs_utils.c 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 fs_utils.c 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 fs_utils.c. 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.
fs_utils.c is provided by the CodeBadger MCP server (lekssays/codebadger). 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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