Retrieve detailed context and AI-generated summary for a specific entry. Use search_logs first to find relevant IDs, then get full context with this tool.
AI agents call get_context to retrieve information from Agent Progress Tracker MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns information from persistent SQLite storage without modifying or deleting data. It is purely a read operation. Severity is medium rather than low because the server manages 'persistent memory' across AI agent projects, so context retrieval could expose sensitive workflow information, project details, or agent decision-making context that, if accessed by an unauthorized or compromised…
From the tool's definition Tool description states: 'Retrieve detailed context and AI-generated summary for a specific entry.' This is explicitly a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Retrieve detailed context and AI-generated summary for a specific entry. Use search_logs first to find relevant IDs, then get full context with this tool. It is categorised as a Read tool in the Agent Progress Tracker MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Agent Progress Tracker MCP Server MCP server in PolicyLayer and add a rule for get_context: 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 Agent Progress Tracker MCP Server. Nothing to install.
get_context 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_context 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_context. 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_context is provided by the Agent Progress Tracker MCP Server MCP server (thesammykins/context-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
get_context is one line of Agent Progress Tracker MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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