This record as markdown: /tools/io-github-devopam-mcpg/recommend-indexes.md
What recommend_indexes does on Mcpg
AI agents call recommend_indexes 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_indexes is rated Low
The name 'recommend_indexes' implies an advisory/analytical function that reads database metadata and query patterns to suggest index improvements, without actually creating or modifying anything. However, the empty description makes it impossible to confirm this with certainty.
From the tool's definition Tool name 'recommend_indexes' suggests it analyzes and recommends indexes rather than creating them. Description is empty and uninformative, lowering confidence.
Attacks that exploit this kind of access
The rule that runs recommend_indexes 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_indexes, this is the rule to start with:
recommend_indexes 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_indexes call is checked against it from then on.
Questions about recommend_indexes
recommend_indexes 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_indexes: 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_indexes 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_indexes 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_indexes. 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_indexes 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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