reviewers
GitHub usernames to request reviews from (string[], optional)
This record as markdown: /tools/io-github-aifity-omnigit-mcp/reviewers.md
What reviewers does on GitHub
AI agents call reviewers as a supporting operation in GitHub workflows.
Why reviewers is rated Low
The description reads like a parameter definition for another tool rather than an independent tool with its own action. It does not describe a retrieving, writing, executing, or destructive operation on its own. Without a clear action associated with this tool, it cannot be confidently categorized beyond 'Other'. Confidence is low due to the uninformative description.
From the tool's definition Tool description is 'GitHub usernames to request reviews from (string[], optional)' — this appears to be a parameter descriptor, not a standalone tool with defined behavior.
Attacks that exploit this kind of access
The rule that runs reviewers 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 reviewers, this is the rule to start with:
reviewers gets a rate cap, and 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 reviewers call is checked against it from then on.
Questions about reviewers
GitHub usernames to request reviews from (string[], optional). It is categorised as a Other tool in the GitHub MCP Server, which means it performs auxiliary operations.
Register the GitHub MCP server in PolicyLayer and add a rule for reviewers: 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.
reviewers is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the reviewers 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 reviewers. 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.
reviewers 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.
More on GitHub, and thousands of servers like it.
This server
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