This record as markdown: /tools/sqcows-forgejo-mcp/add-issue-dependency.md
What add_issue_dependency does on Forgejo
AI agents use add_issue_dependency to create or update resources in Forgejo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Forgejo environment.
Why add_issue_dependency is rated Medium
Creates reversible metadata linking between issues; modifies issue state but causes no data loss.
From the tool's definition add_issue_dependency: makes issue depend on another issue
Attacks that exploit this kind of access
The rule that runs add_issue_dependency safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Forgejo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_issue_dependency, this is the rule to start with:
add_issue_dependency 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 Forgejo, apply this rule, and every add_issue_dependency call is checked against it from then on.
Questions about add_issue_dependency
Make an issue depend on another issue. It is categorised as a Write tool in the Forgejo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Forgejo MCP server in PolicyLayer and add a rule for add_issue_dependency: 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 Forgejo. Nothing to install.
add_issue_dependency 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 add_issue_dependency 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 add_issue_dependency. 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.
add_issue_dependency is provided by the Forgejo MCP server (sqcows/forgejo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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