get_task_context

Return compact decision-relevant state for a specific task.

Server Decision State MCP koolercat/mcp-state
Category Read
Risk class Low
Parameters 00 required

What get_task_context does on Decision State MCP

AI agents call get_task_context to retrieve information from Decision State MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_task_context needs a policy

This tool retrieves and returns state information (goals, constraints, facts, decisions) for a specific task without creating, modifying, or deleting any data. It has no side effects beyond querying. This is a straightforward Read operation with minimal blast radius if misused — an agent could only access stored decision context, not alter it.

From the tool's definition Tool name is 'get_task_context' and description states 'Return compact decision-relevant state' — uses the verb 'return' indicating retrieval without modification.

Questions about get_task_context

What does the get_task_context tool do? +

Return compact decision-relevant state for a specific task. It is categorised as a Read tool in the Decision State MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_task_context? +

Register the Decision State MCP server in PolicyLayer and add a rule for get_task_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 Decision State MCP. Nothing to install.

What risk level is get_task_context? +

get_task_context is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_task_context? +

Yes. Add a rate_limit block to the get_task_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.

How do I block get_task_context completely? +

Set action: deny in the PolicyLayer policy for get_task_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.

What MCP server provides get_task_context? +

get_task_context is provided by the Decision State MCP server (koolercat/mcp-state). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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