DRY-RUN validator for HTML payloads. Pushes the HTML through agentView's size + description checks WITHOUT touching any real display. Use this when an LLM has just generated HTML and you want to confirm it is well-formed and within limits BEFORE risking a real send_html call (e.g. after composing...
Risk signalsAccepts raw HTML/template content (html) · Handles credentials or secrets (access_token)
Part of the agentView server.
Free to start. No card required.
AI agents call test_display_content to retrieve information from agentView without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though test_display_content only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"test_display_content": {}
}
}See the full agentView policy for all 81 tools.
These attack patterns abuse exactly the kind of access test_display_content gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
DRY-RUN validator for HTML payloads. Pushes the HTML through agentView's size + description checks WITHOUT touching any real display. Use this when an LLM has just generated HTML and you want to confirm it is well-formed and within limits BEFORE risking a real send_html call (e.g. after composing a complex layout, or before broadcasting to many displays). No display_id is needed; the response carries simulated=true and a safe size summary. Capped at 1 MB. Authenticated, but no display-scope check — only verb-level enforcement.. It is categorised as a Read tool in the agentView MCP Server, which means it retrieves data without modifying state.
Register the agentView MCP server in PolicyLayer and add a rule for test_display_content: 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.
test_display_content 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 test_display_content 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 test_display_content. 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.
test_display_content 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.
Deterministic rules across all 81 agentView tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.