log.c
AI agents call log.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 tool appears to be a read-only analysis utility given the CodeBadger server's focus on static code analysis, code browsing, and tracking. Without a description, confidence is moderately reduced, but the naming pattern and sibling tools (find_*, get_*) suggest inspection rather than modification or execution. Log inspection is non-destructive data retrieval.
From the tool's definition Tool name 'log.c' with no description; based on server context providing static code analysis and inspection capabilities, this likely reads/queries log data or code logs without modifying state.
Attacks that exploit this kind of access
log.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 log.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.
log.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 log.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 log.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.
log.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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