get_teams

A read tool on the GitHub MCP server.

SERVERGitHub SOURCEoci:ghcr.io/aifity/omnigit-mcp:0.5.0

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-aifity-omnigit-mcp/get-teams.md

WHAT IT DOES

What get_teams does on GitHub

AI agents call get_teams to retrieve information from GitHub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_teams is rated Low

This tool queries and retrieves team information from GitHub without creating, modifying, deleting, or executing any operations. It has no side effects and presents minimal risk if misused by an AI agent, as it only exposes data that is typically accessible to authenticated users.

From the tool's definition Tool name 'get_teams' and description 'Get teams' indicate a retrieval operation with no modification or execution capability. The verb 'get' is a standard read operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_teams 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 get_teams, this is the rule to start with:

get_teams Allowed

get_teams is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_teams": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GitHub, apply this rule, and every get_teams call is checked against it from then on.

FAQ

Questions about get_teams

What does the get_teams tool do? +

get_teams is a read tool on the GitHub MCP server. It is categorised as a Read tool in the GitHub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_teams? +

Register the GitHub MCP server in PolicyLayer and add a rule for get_teams: 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.

What risk level is get_teams? +

get_teams is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_teams? +

Yes. Add a rate_limit block to the get_teams 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.

How do I block get_teams completely? +

Set action: deny in the PolicyLayer policy for get_teams. 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.

What MCP server provides get_teams? +

get_teams 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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