search_by_study_uid · Amazon Redshift MCP Server MCP

WHAT IT DOES

What search_by_study_uid does on Amazon Redshift MCP Server

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

THE RISK

Low Risk

Why search_by_study_uid needs a policy

The tool name suggests a search or lookup operation by a unique identifier, which are read-only operations with no side effects. Without a descriptive text, confidence is reduced but the verb 'search' strongly implies data retrieval rather than modification or execution. The low severity reflects that read operations have minimal blast radius unless they expose highly sensitive data, which is not indicated here.

From the tool's definition Tool name 'search_by_study_uid' indicates a retrieval operation. The description is empty, limiting certainty. The naming pattern 'search_by_*' is typical of query/read operations that do not modify data.

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

POLICY

How to control search_by_study_uid

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "search_by_study_uid": {}
  }
}

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

Create a free account and register Amazon Redshift MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

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All 805 Amazon Redshift MCP Server tools →

Read tools on other servers

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about search_by_study_uid

What does the search_by_study_uid tool do? +

search_by_study_uid. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_by_study_uid? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for search_by_study_uid: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is search_by_study_uid? +

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

Can I rate-limit search_by_study_uid? +

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

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

search_by_study_uid is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-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 Amazon Redshift MCP Server tool call.

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

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805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.