Retrieve contexts most likely to be accessed next (predicted high-value)
AI agents call get_high_value_contexts to retrieve information from Semantic Context MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves predicted high-value conversation contexts using semantic analysis and predictions. It has no side effects, cannot modify or delete data, and poses minimal security risk. The worst-case misuse is retrieving irrelevant or sensitive conversation history, but the tool itself performs only data retrieval constrained by a prediction model.
From the tool's definition Tool name and description indicate it 'Retrieve[s] contexts...predicted high-value' — a query operation with no modification or deletion of data.
Attacks that exploit this kind of access
Retrieve contexts most likely to be accessed next (predicted high-value). It is categorised as a Read tool in the Semantic Context MCP MCP Server, which means it retrieves data without modifying state.
Register the Semantic Context MCP server in PolicyLayer and add a rule for get_high_value_contexts: 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 Semantic Context MCP. Nothing to install.
get_high_value_contexts 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 get_high_value_contexts 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 get_high_value_contexts. 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.
get_high_value_contexts is provided by the Semantic Context MCP server (semanticintent/semantic-wake-intelligence-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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