label_write
Write operations on repository labels.
This record as markdown: /tools/io-github-aifity-omnigit-mcp/label-write.md
What label_write does on GitHub
AI agents use label_write to create or update resources in GitHub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub environment.
Why label_write is rated Medium
This tool modifies repository labels (creating, updating, or changing them) but does not permanently delete data or execute arbitrary code. Label modifications are reversible and limited in scope, making this a Write-category risk with medium severity. The blast radius is contained to label management, affecting issue/PR organization but not critical system integrity or financial impact.
From the tool's definition Tool name explicitly states 'label_write' and description specifies 'Write operations on repository labels.' Write operations create or modify data reversibly.
Attacks that exploit this kind of access
The rule that runs label_write safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GitHub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For label_write, this is the rule to start with:
label_write 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 GitHub, apply this rule, and every label_write call is checked against it from then on.
Questions about label_write
Write operations on repository labels. It is categorised as a Write tool in the GitHub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GitHub MCP server in PolicyLayer and add a rule for label_write: 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 GitHub. Nothing to install.
label_write 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 label_write 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 label_write. 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.
label_write is provided by the GitHub MCP server (oci:ghcr.io/aifity/omnigit-mcp:0.5.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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