recommend_tools
Given one known tool, recommend similar catalog tools via the Capability Graph (shared capabilities + protocol/category affinity).
This record as markdown: /tools/404-directory/recommend-tools.md
What recommend_tools does on 404 Directory
AI agents call recommend_tools to retrieve information from 404 Directory without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why recommend_tools is rated Low
Queries and retrieves tool recommendations without modifying or executing anything.
From the tool's definition recommend similar catalog tools via the Capability Graph
Attacks that exploit this kind of access
The rule that runs recommend_tools safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 404 Directory, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_tools, this is the rule to start with:
recommend_tools 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 404 Directory, apply this rule, and every recommend_tools call is checked against it from then on.
Questions about recommend_tools
Given one known tool, recommend similar catalog tools via the Capability Graph (shared capabilities + protocol/category affinity). It is categorised as a Read tool in the 404 Directory MCP Server, which means it retrieves data without modifying state.
Register the 404 Directory MCP server in PolicyLayer and add a rule for recommend_tools: 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 404 Directory. Nothing to install.
recommend_tools 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 recommend_tools 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 recommend_tools. 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.
recommend_tools is provided by the 404 Directory MCP server (MM-sheng/404-directory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on 404 Directory, and thousands of servers like it.
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