Low Risk

smart_read

Surgical code extraction from files. Returns ONLY relevant code sections with line numbers — not analysis. OUTPUT: Markdown with extracted code sections (verbatim, with line numbers), minimal annotations, file metadata, latency, token usage. Shows

How to control smart_read ↓

What smart_read does on HydraMCP

AI agents call smart_read to retrieve information from HydraMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why smart_read needs a policy

This tool queries and retrieves data from files without side effects. It performs code extraction and filtering, which are fundamentally read operations. There is no indication of code execution, data modification, deletion, or external operation triggering. The output is informational only.

From the tool's definition Tool description explicitly states 'Surgical code extraction from files' and 'Returns ONLY relevant code sections' — a retrieval operation with no modification or execution.

Documented attack patterns abuse exactly the kind of access smart_read gives an agent:

How to control smart_read

PolicyLayer is an MCP gateway — it sits between your AI agents and HydraMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for smart_read:

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

smart_read is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register HydraMCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about smart_read

What does the smart_read tool do? +

Surgical code extraction from files. Returns ONLY relevant code sections with line numbers — not analysis. OUTPUT: Markdown with extracted code sections (verbatim, with line numbers), minimal annotations, file metadata, latency, token usage. Shows. It is categorised as a Read tool in the HydraMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on smart_read? +

Register the Hydra MCP server in PolicyLayer and add a rule for smart_read: 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 HydraMCP. Nothing to install.

What risk level is smart_read? +

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

Can I rate-limit smart_read? +

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

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

smart_read is provided by the Hydra MCP server (pickle-pixel/hydramcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every HydraMCP tool call.

Start from HydraMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

8 HydraMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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