prepare_query_tuning
Analyse query optimisations
Part of the Neon MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
WHEN AI AGENTS USE THIS TOOL
AI agents call prepare_query_tuning to retrieve information from Neon without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions — but you may still want rate limits to control API costs.
WHY ENFORCE A POLICY ON PREPARE_QUERY_TUNING
Even though prepare_query_tuning only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
RECOMMENDED POLICY
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
prepare_query_tuning:
rules:
- action: allowSee the full Neon policy for all 29 tools.
DETAILS
MORE NEON TOOLS
complete_query_tuning Read describe_branch Read describe_project Read describe_table_schema Read fetch Read get_connection_string Read get_database_tables Read get_doc_resource Read SIMILAR READ TOOLS ON OTHER SERVERS
list_bases Airtable list_tables Airtable list_records Airtable get_record Airtable search_records Airtable search Amplitude RELATED READING
FREQUENTLY ASKED QUESTIONS
What does the prepare_query_tuning tool do?
Analyse query optimisations. It is categorised as a Read tool in the Neon MCP Server, which means it retrieves data without modifying state.
How do I enforce a policy on prepare_query_tuning?
Add a rule in your Intercept YAML policy under the tools section for prepare_query_tuning. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Neon MCP server.
What risk level is prepare_query_tuning?
prepare_query_tuning is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Can I rate-limit prepare_query_tuning?
Yes. Add a rate_limit block to the prepare_query_tuning rule in your Intercept 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 prepare_query_tuning completely?
Set action: deny in the Intercept policy for prepare_query_tuning. 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 prepare_query_tuning?
prepare_query_tuning is provided by the Neon MCP server (neondatabase/mcp-server-neon). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
ENFORCE POLICIES ON NEON
Open source. One binary. Zero dependencies.