tenets_get_tool_schema
AI agents call tenets_get_tool_schema 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.
The 'get_' prefix combined with 'schema' in the name suggests this tool retrieves schema information about tools, likely for introspection or documentation purposes. This is a read operation with no side effects. The empty description lowers confidence slightly, but the naming convention and context strongly indicate a benign read action.
From the tool's definition Tool name 'tenets_get_tool_schema' indicates a schema retrieval operation; the empty description and 'get_' prefix are consistent with read-only data retrieval. No indication of modification, execution, deletion, or financial operations.
Documented attack patterns abuse exactly the kind of access tenets_get_tool_schema 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_get_tool_schema:
{
"version": "1",
"default": "deny",
"tools": {
"tenets_get_tool_schema": {}
}
} tenets_get_tool_schema is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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tenets_get_tool_schema. 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_get_tool_schema: 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_get_tool_schema 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_get_tool_schema 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_get_tool_schema. 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_get_tool_schema 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.