List active (non-expired) discipline-tokens for a flow. Does NOT return raw tokens — only metadata (id, skillName, createdAt, expiresAt, evidence). Use this to check what a flow already has before deciding whether to emit a fresh one.
AI agents call devflow_tokens_list to retrieve information from DevFlow MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries metadata about discipline tokens without modifying, creating, or deleting any data. It explicitly avoids returning sensitive raw token values, limiting it to informational metadata lookup. The no-side-effects nature and read-only semantics place it firmly in the Read category with low severity.
From the tool's definition Tool name contains 'list' and description states 'List active (non-expired) discipline-tokens for a flow' and 'Does NOT return raw tokens — only metadata'. The operation is explicitly read-only with no side effects.
Attacks that exploit this kind of access
List active (non-expired) discipline-tokens for a flow. Does NOT return raw tokens — only metadata (id, skillName, createdAt, expiresAt, evidence). Use this to check what a flow already has before deciding whether to emit a fresh one. It is categorised as a Read tool in the DevFlow MCP Server MCP Server, which means it retrieves data without modifying state.
Register the DevFlow MCP Server MCP server in PolicyLayer and add a rule for devflow_tokens_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 DevFlow MCP Server. Nothing to install.
devflow_tokens_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 devflow_tokens_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 devflow_tokens_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.
devflow_tokens_list is provided by the DevFlow MCP Server MCP server (klausfreiberufler/devflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
devflow_tokens_list is one line of DevFlow MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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