AI agents use release-create to create or update resources in Python — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python environment.
This tool creates new data (a GitHub release) in a repository, which is a reversible write operation. While the creation is permanent in the sense that the release exists, it can be deleted or unpublished if needed, distinguishing it from destructive operations.
From the tool's definition Tool description states it 'Creates a new GitHub release' - a write operation that modifies repository state by adding a new release artifact and optionally uploading assets.
Attacks that exploit this kind of access
Creates a new GitHub release with optional asset uploads. Returns structured data with tag, URL, draft, prerelease status, and assets uploaded count. It is categorised as a Write tool in the Python MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Python MCP server in PolicyLayer and add a rule for release-create: 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 Python. Nothing to install.
release-create is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the release-create 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-create. 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-create is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
release-create is one line of Python'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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