Record a significant decision made during development. Helps future sessions understand why choices were made.
Part of the Session Forge server.
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AI agents call decision_record to retrieve information from Session Forge without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though decision_record only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"decision_record": {}
}
}See the full Session Forge policy for all 15 tools.
These attack patterns abuse exactly the kind of access decision_record gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Record a significant decision made during development. Helps future sessions understand why choices were made.. It is categorised as a Read tool in the Session Forge MCP Server, which means it retrieves data without modifying state.
Register the Session Forge MCP server in PolicyLayer and add a rule for decision_record: 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 Session Forge. Nothing to install.
decision_record 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 decision_record 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 decision_record. 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.
decision_record is provided by the Session Forge MCP server (session-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 15 Session Forge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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