Low Risk

smart_read_many

Batch smart_read for multiple files at once — INSTEAD OF calling Read on each file. Returns structure for each file. Max 20 files.

Part of the Token Pilot server.

smart_read_many 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 smart_read_many to retrieve information from Token Pilot 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 smart_read_many 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": {
    "smart_read_many": {}
  }
}

See the full Token Pilot policy for all 19 tools.

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

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These attack patterns abuse exactly the kind of access smart_read_many 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 smart_read_many 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 smart_read_many tool do? +

Batch smart_read for multiple files at once — INSTEAD OF calling Read on each file. Returns structure for each file. Max 20 files.. It is categorised as a Read tool in the Token Pilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on smart_read_many? +

Register the Token Pilot MCP server in PolicyLayer and add a rule for smart_read_many: 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 Token Pilot. Nothing to install.

What risk level is smart_read_many? +

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

Can I rate-limit smart_read_many? +

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

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

smart_read_many is provided by the Token Pilot MCP server (token-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Token Pilot tool call.

Deterministic rules across all 19 Token Pilot 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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