failed_hypotheses

Return memories known to have failed — invalidated, superseded, or

Server State Trace agent-pattern-labs/state-trace
Category Read
Risk class Low
Parameters 00 required

What failed_hypotheses does on State Trace

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

Why failed_hypotheses needs a policy

This tool retrieves or queries existing data (failed hypotheses from working memory) without side effects. It performs read-only access to the agent's causal memory system, similar to a get or fetch operation. There is no indication it modifies, deletes, or executes external operations.

From the tool's definition Tool name 'failed_hypotheses' and description indicating it 'Return[s] memories known to have failed' — a retrieval operation with no modification, creation, or deletion of data.

Questions about failed_hypotheses

What does the failed_hypotheses tool do? +

Return memories known to have failed — invalidated, superseded, or. It is categorised as a Read tool in the State Trace MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on failed_hypotheses? +

Register the State Trace MCP server in PolicyLayer and add a rule for failed_hypotheses: 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 State Trace. Nothing to install.

What risk level is failed_hypotheses? +

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

Can I rate-limit failed_hypotheses? +

Yes. Add a rate_limit block to the failed_hypotheses 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 failed_hypotheses completely? +

Set action: deny in the PolicyLayer policy for failed_hypotheses. 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 failed_hypotheses? +

failed_hypotheses is provided by the State Trace MCP server (agent-pattern-labs/state-trace). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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