AI agents call tenets_chronicle to retrieve information from Tenets without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
With an empty description, confidence is moderate. Based on naming convention alone, 'chronicle' implies accessing historical information (a Read operation). The server's purpose—providing code context aggregation—suggests this tool likely retrieves stored principles, rules, or conversation history.
From the tool's definition Tool name 'tenets_chronicle' suggests retrieving or reviewing historical context or records. No description provided, but '-chronicle' typically indicates reading/reviewing past data rather than modification or execution.
Documented attack patterns abuse exactly the kind of access tenets_chronicle gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tenets, and nothing reaches the server without passing your rules. This is the rule we recommend for tenets_chronicle:
{
"version": "1",
"default": "deny",
"tools": {
"tenets_chronicle": {}
}
}tenets_chronicle is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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tenets_chronicle. It is categorised as a Read tool in the Tenets MCP Server, which means it retrieves data without modifying state.
Register the Tenets MCP server in PolicyLayer and add a rule for tenets_chronicle: 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 Tenets. Nothing to install.
tenets_chronicle 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 tenets_chronicle 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 tenets_chronicle. 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.
tenets_chronicle is provided by the Tenets MCP server (jddunn/tenets). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tenets, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Tenets tools catalogued and risk-classified — across an index of 43,000+ MCP servers.