This record as markdown: /tools/io-github-devopam-mcpg/tune-vector-index.md
What tune_vector_index does on Mcpg
AI agents invoke tune_vector_index to trigger actions in Mcpg. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why tune_vector_index is rated High
Based on the name, this tool likely modifies or reconfigures a vector index (e.g., HNSW parameters) in PostgreSQL. Tuning an index implies altering database structures, which is a write/execute operation. Sibling tools like 'analyze_hnsw_recall' and 'analyze_distance_metric' suggest a vector search context where index tuning would involve running ALTER INDEX or rebuilding index configurations.
From the tool's definition Tool name 'tune_vector_index' on a PostgreSQL MCP server; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs tune_vector_index 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 tune_vector_index, this is the rule to start with:
tune_vector_index stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. 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 tune_vector_index call is checked against it from then on.
Questions about tune_vector_index
tune_vector_index is a execute tool on the Mcpg MCP server. It is categorised as a Execute tool in the Mcpg MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcpg MCP server in PolicyLayer and add a rule for tune_vector_index: 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.
tune_vector_index is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the tune_vector_index 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 tune_vector_index. 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.
tune_vector_index 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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