AI agents call discussion-list to retrieve information from Python without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a pure data retrieval operation against GitHub's GraphQL API to fetch discussion metadata. It has no side effects, does not modify or delete data, does not execute code, and does not involve financial transactions. The scope is limited to listing publicly available discussion information, making it a straightforward Read operation with minimal risk.
From the tool's definition Tool description states it 'Lists GitHub Discussions for a repository via GraphQL' with no mutation, deletion, or execution capabilities. Returns only structured read data: discussion number, title, author, category, answered status, and comment count.
Attacks that exploit this kind of access
Lists GitHub Discussions for a repository via GraphQL. Returns structured list with discussion number, title, author, category, answered status, and comment count. It is categorised as a Read tool in the Python MCP Server, which means it retrieves data without modifying state.
Register the Python MCP server in PolicyLayer and add a rule for discussion-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 Python. Nothing to install.
discussion-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 discussion-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 discussion-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.
discussion-list 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.
discussion-list 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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