issue-close
Closes an issue with an optional comment and reason. Returns structured data with issue number, state, URL, reason, and comment URL.
This record as markdown: /tools/io-github-dave-london-pare-search/issue-close.md
What issue-close does on Search
AI agents use issue-close to create or update resources in Search, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Search environment.
Why issue-close is rated Medium
Closing an issue is a write operation that modifies the issue's state. While state changes are typically reversible (issues can be reopened), this represents a significant modification to data that could affect workflows and visibility. It's not Destructive because closing is reversible; it's not Read because it has side effects; it's not Execute/Financial/Other.
From the tool's definition Tool description states it 'Closes an issue' which is an irreversible state change to an issue object. However, the description does not indicate deletion of data, only a state transition (closing).
Attacks that exploit this kind of access
The rule that runs issue-close safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Search, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For issue-close, this is the rule to start with:
issue-close 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 Search, apply this rule, and every issue-close call is checked against it from then on.
Questions about issue-close
Closes an issue with an optional comment and reason. Returns structured data with issue number, state, URL, reason, and comment URL. It is categorised as a Write tool in the Search MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Search MCP server in PolicyLayer and add a rule for issue-close: 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 Search. Nothing to install.
issue-close 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-close 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-close. 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-close is provided by the Search 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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