This record as markdown: /tools/io-github-devopam-mcpg/recommend-redis-cache-targets.md
What recommend_redis_cache_targets does on Mcpg
AI agents call recommend_redis_cache_targets to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why recommend_redis_cache_targets is rated Low
The tool appears designed to analyze and recommend caching targets, which is a read operation that queries system state to suggest optimizations. Without a description, confidence is moderate, but the naming pattern and sibling context indicate this is an informational/advisory tool rather than one that modifies or executes operations.
From the tool's definition Tool name 'recommend_redis_cache_targets' suggests analysis/recommendation generation. No description provided to confirm scope, but 'recommend' typically implies read-only query or analysis.
Attacks that exploit this kind of access
The rule that runs recommend_redis_cache_targets safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_redis_cache_targets, this is the rule to start with:
recommend_redis_cache_targets is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every recommend_redis_cache_targets call is checked against it from then on.
Questions about recommend_redis_cache_targets
recommend_redis_cache_targets is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for recommend_redis_cache_targets: 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 Mcpg. Nothing to install.
recommend_redis_cache_targets is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recommend_redis_cache_targets 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.
Set action: deny in the PolicyLayer policy for recommend_redis_cache_targets. 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.
recommend_redis_cache_targets is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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