This record as markdown: /tools/io-github-ariffazil-aaa-mcp/fetch-tool.md
What fetch_tool does on Arifos
AI agents call fetch_tool to retrieve information from Arifos without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why fetch_tool is rated Low
The tool retrieves ('Fetch') full document content by ID—a read-only operation with no side effects. It queries and returns data without creating, modifying, deleting, or executing operations. Within the governance context of this Constitutional AI system, this is a passive data retrieval mechanism with minimal blast radius.
From the tool's definition Tool name 'fetch_tool' and description 'Fetch full document content by ID from search results' indicate retrieval of existing data with no modification or deletion.
Attacks that exploit this kind of access
The rule that runs fetch_tool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Arifos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fetch_tool, this is the rule to start with:
fetch_tool 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 Arifos, apply this rule, and every fetch_tool call is checked against it from then on.
Questions about fetch_tool
Fetch full document content by ID from search results. It is categorised as a Read tool in the Arifos MCP Server, which means it retrieves data without modifying state.
Register the Arifos MCP server in PolicyLayer and add a rule for fetch_tool: 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 Arifos. Nothing to install.
fetch_tool 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 fetch_tool 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 fetch_tool. 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.
fetch_tool is provided by the Arifos MCP server (arifos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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