optimized_completion
A read tool on the DeepMyst MCP server.
This record as markdown: /tools/deepmyst-deepmyst-mcp/optimized-completion.md
What optimized_completion does on DeepMyst MCP Server
AI agents call optimized_completion to retrieve information from DeepMyst MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why optimized_completion is rated Low
Even though optimized_completion only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs optimized_completion safely
PolicyLayer is an MCP gateway: it sits between your AI agents and DeepMyst MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For optimized_completion, this is the rule to start with:
optimized_completion 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 DeepMyst MCP Server, apply this rule, and every optimized_completion call is checked against it from then on.
Questions about optimized_completion
optimized_completion is a read tool on the DeepMyst MCP Server MCP server. It is categorised as a Read tool in the DeepMyst MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DeepMyst MCP Server MCP server in PolicyLayer and add a rule for optimized_completion: 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 DeepMyst MCP Server. Nothing to install.
optimized_completion 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 optimized_completion 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 optimized_completion. 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.
optimized_completion is provided by the DeepMyst MCP Server MCP server (deepmyst/deepmyst-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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