AI agents call spike_list to retrieve information from Hedgehog without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs a straightforward query/list operation to retrieve and display existing spike investigation records. It has no side effects, does not modify state, and presents read-only summary information to the user. This is a canonical Read operation.
From the tool's definition Tool name is 'spike_list' and description states it 'List[s] all spike investigations with summary information.' This is a retrieval operation with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
List all spike investigations with summary information. It is categorised as a Read tool in the Hedgehog MCP Server, which means it retrieves data without modifying state.
Register the Hedgehog MCP server in PolicyLayer and add a rule for spike_list: 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 Hedgehog. Nothing to install.
spike_list 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 spike_list 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 spike_list. 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.
spike_list is provided by the Hedgehog MCP server (jpalmerr/hedgehog). 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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