issue-update
Updates issue metadata (title, body, labels, assignees, milestone, projects).
This record as markdown: /tools/io-github-dave-london-go/issue-update.md
What issue-update does on Go
AI agents use issue-update to create or update resources in Go, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Go environment.
Why issue-update is rated Medium
This tool modifies existing issue records reversibly. Updates to metadata (title, body, labels, assignees, milestone, projects) are characteristic Write operations — they change state but are not destructive (can be reverted or corrected).
From the tool's definition Tool description explicitly states it 'Updates issue metadata (title, body, labels, assignees, milestone, projects)' — these are create/modify operations on issue data.
Attacks that exploit this kind of access
The rule that runs issue-update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Go, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For issue-update, this is the rule to start with:
issue-update stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Go, apply this rule, and every issue-update call is checked against it from then on.
Questions about issue-update
Updates issue metadata (title, body, labels, assignees, milestone, projects). It is categorised as a Write tool in the Go MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Go MCP server in PolicyLayer and add a rule for issue-update: 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 Go. Nothing to install.
issue-update 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 issue-update 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 issue-update. 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.
issue-update is provided by the Go MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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