Low Risk

agentbond_evaluate_intent_policy

Evaluate intent policy for an action. Checks if an IntentRecord exists when requireReasoning is true. Records the result in the audit log with intentRef linkage based on auditLevel.

Part of the AgentBond server.

agentbond_evaluate_intent_policy 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 AGENTBOND →

Free to start. No card required.

AI agents call agentbond_evaluate_intent_policy to retrieve information from AgentBond 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 agentbond_evaluate_intent_policy 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": {
    "agentbond_evaluate_intent_policy": {}
  }
}

See the full AgentBond policy for all 17 tools.

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

ENFORCE ON MY AGENTBOND →

View all 17 tools →

These attack patterns abuse exactly the kind of access agentbond_evaluate_intent_policy 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 agentbond_evaluate_intent_policy only ever does what you allow.

SECURE AGENTBOND →

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

What does the agentbond_evaluate_intent_policy tool do? +

Evaluate intent policy for an action. Checks if an IntentRecord exists when requireReasoning is true. Records the result in the audit log with intentRef linkage based on auditLevel.. It is categorised as a Read tool in the AgentBond MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on agentbond_evaluate_intent_policy? +

Register the AgentBond MCP server in PolicyLayer and add a rule for agentbond_evaluate_intent_policy: 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 AgentBond. Nothing to install.

What risk level is agentbond_evaluate_intent_policy? +

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

Can I rate-limit agentbond_evaluate_intent_policy? +

Yes. Add a rate_limit block to the agentbond_evaluate_intent_policy 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 agentbond_evaluate_intent_policy completely? +

Set action: deny in the PolicyLayer policy for agentbond_evaluate_intent_policy. 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 agentbond_evaluate_intent_policy? +

agentbond_evaluate_intent_policy is provided by the AgentBond MCP server (agentbond/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AgentBond tool call.

Deterministic rules across all 17 AgentBond 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.