This record as markdown: /tools/io-github-devopam-mcpg/turboquant-approx-candidates.md
What turboquant_approx_candidates does on Mcpg
AI agents call turboquant_approx_candidates 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 turboquant_approx_candidates is rated Low
Based on the naming convention and context among sibling tools (which are primarily analytical/metric functions), this tool likely retrieves or approximates candidates for analysis rather than modifying data. However, confidence is low due to the empty description. Without explicit evidence of side effects, Read is the least risky default classification.
From the tool's definition Tool name 'turboquant_approx_candidates' suggests approximate candidate retrieval/analysis. The description is empty, providing no direct confirmation of function.
Attacks that exploit this kind of access
The rule that runs turboquant_approx_candidates 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 turboquant_approx_candidates, this is the rule to start with:
turboquant_approx_candidates 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 turboquant_approx_candidates call is checked against it from then on.
Questions about turboquant_approx_candidates
turboquant_approx_candidates 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 turboquant_approx_candidates: 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.
turboquant_approx_candidates 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 turboquant_approx_candidates 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 turboquant_approx_candidates. 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.
turboquant_approx_candidates 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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