send_store_template_to_display
Installs a published store template onto a display: materializes the HTML, auto-creates required data slots (reusing prior installs) and publishes within seconds. Call get_store_template_install_options first for valid targets and slots; customize per-slot JSON inline via data_slot_overrides (raw...
This record as markdown: /tools/de-agentview-agentview-mcp/send-store-template-to-display.md
What send_store_template_to_display does on agentView
AI agents use send_store_template_to_display to create or update resources in agentView, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your agentView environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
slug | string | Yes | Template slug to install, e.g. 'bistro-warm-door'. Must be a currently published template. |
display_id | string | Yes | Display profile ID (8-char alphanumeric) from list_displays or get_store_template_install_options. |
access_token | string | — | Optional bearer token; prefer session_request_id. |
idempotency_key | string | — | Optional opaque key (max 128 chars) to make this install retry-safe. If a previous successful install for the same (user, display, idempotency_key) tuple exists |
session_request_id | string | — | Session handle from create_auth_session; pass it on every authenticated call. |
data_slot_overrides | object | — | Optional { key: value } map keyed by data-slot key (see requiredDataSlots). Each value is JSON payload to install into that slot — either a string of raw JSON o |
Parameters from the server's own tool schema.
Why send_store_template_to_display is rated Medium
An AI agent can call send_store_template_to_display faster than any human can review: one bad instruction and it creates or modifies resources in agentView by the hundred, each call as confident as the last.
Risk signalsHandles credentials or secrets (access_token)
Attacks that exploit this kind of access
The rule that runs send_store_template_to_display 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 send_store_template_to_display, this is the rule to start with:
send_store_template_to_display stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 send_store_template_to_display call is checked against it from then on.
Questions about send_store_template_to_display
Installs a published store template onto a display: materializes the HTML, auto-creates required data slots (reusing prior installs) and publishes within seconds. Call get_store_template_install_options first for valid targets and slots; customize per-slot JSON inline via data_slot_overrides (raw JSON string or inline object per key, max 64 KiB each). Requires content scope and control access to the display. It is categorised as a Write tool in the agentView MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
send_store_template_to_display accepts 6 parameters: slug, display_id, access_token, idempotency_key, session_request_id, data_slot_overrides. Required: slug, display_id. 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 send_store_template_to_display: 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.
send_store_template_to_display is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the send_store_template_to_display 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 send_store_template_to_display. 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.
send_store_template_to_display 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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