fetch
Fetches one agentView resource by agentview:// URI, e.g. agentview://public/status, agentview://account/me or agentview://display/ABCD1234. Use after search or with a known URI. Public URIs need no auth; account and display URIs need a session. Returns uri, type, title, text and structured data.
This record as markdown: /tools/de-agentview-agentview-mcp/fetch.md
What fetch does on agentView
AI agents call fetch to retrieve information from agentView without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
uri | string | Yes | The resource URI to fetch. Must use the agentview:// scheme. Examples: 'agentview://public/status', 'agentview://account/me', 'agentview://display/ABCD1234'. |
Parameters from the server's own tool schema.
Why fetch is rated Low
Even though fetch 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.
Risk signalsAccepts URL/endpoint input (uri)
Attacks that exploit this kind of access
The rule that runs fetch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and agentView, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For fetch, this is the rule to start with:
fetch 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 agentView, apply this rule, and every fetch call is checked against it from then on.
Questions about fetch
Fetches one agentView resource by agentview:// URI, e.g. agentview://public/status, agentview://account/me or agentview://display/ABCD1234. Use after search or with a known URI. Public URIs need no auth; account and display URIs need a session. Returns uri, type, title, text and structured data. It is categorised as a Read tool in the agentView MCP Server, which means it retrieves data without modifying state.
fetch accepts 1 parameter: uri. Required: uri. The full parameter table on this page comes from the server's own tool schema.
Register the agentView MCP server in PolicyLayer and add a rule for fetch: 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 agentView. Nothing to install.
fetch 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 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. 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 is provided by the agentView MCP server (https://agentview.de/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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