get_instance

Get detailed information about a Memorystore for Valkey instance.

SERVERMcp SOURCEhttps://memorystore.googleapis.com/mcp

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-memorystore-mcp/get-instance.md

WHAT IT DOES

What get_instance does on Mcp

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

Parameter	Type	Required	Description
`name`	string	Yes	Required. The name of the instance to retrieve. Format: projects/{project}/locations/{location}/instances/{instance}

Parameters from the server's own tool schema.

RISK

Why get_instance is rated Low

The tool retrieves and returns information about an existing resource without modifying, deleting, executing code, or performing financial transactions. It matches the 'Read' category definition of querying data with no side effects.

From the tool's definition Tool name is 'get_instance' and description states 'Get detailed information about a Memorystore for Valkey instance' — this is a retrieval operation with no side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_instance safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_instance, this is the rule to start with:

get_instance Allowed

get_instance is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every get_instance call is checked against it from then on.

FAQ

Questions about get_instance

What does the get_instance tool do? +

Get detailed information about a Memorystore for Valkey instance. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does get_instance accept? +

get_instance accepts 1 parameter: name. Required: name. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_instance? +

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

What risk level is get_instance? +

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

Can I rate-limit get_instance? +

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

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

get_instance is provided by the MCP server (https://memorystore.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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