get_causal_chain
Trace the causality chain from a given event backwards through causedByEventId links. Returns the chain of events that led to this one.
This record as markdown: /tools/io-github-homenshum-nodebench/get-causal-chain.md
What get_causal_chain does on Nodebench
AI agents call get_causal_chain to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_causal_chain is rated Low
This tool queries event relationships and causality links in a read-only manner. It retrieves historical causal connections without side effects, modification of data, or execution of external code. The act of traversing backwards through causedByEventId links is a data retrieval operation typical of Read category tools.
From the tool's definition Tool traces and returns causal chain data ('Trace the causality chain', 'Returns the chain of events') without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs get_causal_chain safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_causal_chain, this is the rule to start with:
get_causal_chain is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every get_causal_chain call is checked against it from then on.
Questions about get_causal_chain
Trace the causality chain from a given event backwards through causedByEventId links. Returns the chain of events that led to this one. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.
Register the Nodebench MCP server in PolicyLayer and add a rule for get_causal_chain: 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 Nodebench. Nothing to install.
get_causal_chain 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_causal_chain 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_causal_chain. 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_causal_chain is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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