Low Risk

score_agent

Agent Sprawl Radar: score a normalized agent payload or an existing registry agent.

Part of the MCP Verify server.

score_agent 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.

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AI agents call score_agent to retrieve information from MCP Verify 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 score_agent 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": {
    "score_agent": {}
  }
}

See the full MCP Verify policy for all 22 tools.

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

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

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

What does the score_agent tool do? +

Agent Sprawl Radar: score a normalized agent payload or an existing registry agent.. It is categorised as a Read tool in the MCP Verify MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on score_agent? +

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

What risk level is score_agent? +

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

Can I rate-limit score_agent? +

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

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

score_agent is provided by the MCP Verify MCP server (https://verify.sentinelsignal.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Verify tool call.

Deterministic rules across all 22 MCP Verify tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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