file_outline
Структура файла — классы, функции, методы.
This record as markdown: /tools/llm-agent-sniffer-integration/file-outline.md
What file_outline does on Llm Agent Sniffer Integration
AI agents call file_outline to retrieve information from Llm Agent Sniffer Integration without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why file_outline is rated Low
Even though file_outline only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs file_outline safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Llm Agent Sniffer Integration, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For file_outline, this is the rule to start with:
file_outline 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 Llm Agent Sniffer Integration, apply this rule, and every file_outline call is checked against it from then on.
Questions about file_outline
Структура файла — классы, функции, методы. It is categorised as a Read tool in the Llm Agent Sniffer Integration MCP Server, which means it retrieves data without modifying state.
Register the Llm Agent Sniffer Integration MCP server in PolicyLayer and add a rule for file_outline: 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 Llm Agent Sniffer Integration. Nothing to install.
file_outline 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 file_outline 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 file_outline. 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.
file_outline is provided by the Llm Agent Sniffer Integration MCP server (mobstardos/llm-agent-sniffer-integration). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Llm Agent Sniffer Integration, and thousands of servers like it.
This server
Across the catalogue