AI agents call release_preflight to retrieve information from Asc without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool performs read-only checks and audits — it inspects metadata, character limits, screenshots, and build status without modifying, submitting, or deleting anything. It is purely a diagnostic/validation tool that surfaces potential issues before submission.
From the tool's definition Pre-submission audit: checks metadata, character limits, screenshots, build status. Catches rejection causes before you submit.
Attacks that exploit this kind of access
Pre-submission audit: checks metadata, character limits, screenshots, build status. Catches rejection causes before you submit. It is categorised as a Read tool in the Asc MCP Server, which means it retrieves data without modifying state.
Register the Asc MCP server in PolicyLayer and add a rule for release_preflight: 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 Asc. Nothing to install.
release_preflight 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 release_preflight 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 release_preflight. 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.
release_preflight is provided by the Asc MCP server (pofky/asc-mcp). 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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