Get contextual analysis suggestions based on conversation history.
AI agents call get_contextual_suggestions to retrieve information from Ai Analyst without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or generates suggestions based on existing conversation context—a pure read operation with no side effects, no code execution, no data modification, and no destructive capability. It fits the Read category definition of retrieving or querying data. Severity is low because misuse would at worst return irrelevant suggestions without affecting system state or external operations.
From the tool's definition Tool name 'get_contextual_suggestions' and description 'Get contextual analysis suggestions based on conversation history' indicate a retrieval operation that queries and returns suggestions without modifying or executing any operations.
Attacks that exploit this kind of access
Get contextual analysis suggestions based on conversation history. It is categorised as a Read tool in the Ai Analyst MCP Server, which means it retrieves data without modifying state.
Register the Ai Analyst MCP server in PolicyLayer and add a rule for get_contextual_suggestions: 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 Ai Analyst. Nothing to install.
get_contextual_suggestions 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_contextual_suggestions 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_contextual_suggestions. 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_contextual_suggestions is provided by the Ai Analyst MCP server (sbdk-dev/local-ai-analyst). 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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