Low Risk

validate_card

Validate an Adaptive Card JSON against the v1.6 schema. Returns diagnostics with suggested fixes for each error. Accepts card JSON or a cardId from a previous tool call.

Risk signalsAccepts URL/endpoint input (host)

Part of the Adaptive Cards server.

validate_card is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE ADAPTIVE CARDS →

Free to start. No card required.

AI agents call validate_card to retrieve information from Adaptive Cards 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 validate_card 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.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_card": {}
  }
}

See the full Adaptive Cards policy for all 9 tools.

Get this rule live on your own Adaptive Cards server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY ADAPTIVE CARDS →

View all 9 tools →

These attack patterns abuse exactly the kind of access validate_card gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so validate_card only ever does what you allow.

SECURE ADAPTIVE CARDS →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the validate_card tool do? +

Validate an Adaptive Card JSON against the v1.6 schema. Returns diagnostics with suggested fixes for each error. Accepts card JSON or a cardId from a previous tool call.. It is categorised as a Read tool in the Adaptive Cards MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_card? +

Register the Adaptive Cards MCP server in PolicyLayer and add a rule for validate_card: 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 Adaptive Cards. Nothing to install.

What risk level is validate_card? +

validate_card is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_card? +

Yes. Add a rate_limit block to the validate_card 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.

How do I block validate_card completely? +

Set action: deny in the PolicyLayer policy for validate_card. 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.

What MCP server provides validate_card? +

validate_card is provided by the Adaptive Cards MCP server (adaptive-cards-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Adaptive Cards tool call.

Deterministic rules across all 9 Adaptive Cards 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.

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