read_issue

THE RISK

Low Risk

Why read_issue needs a policy

This tool retrieves issue content (body and comments) without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with no side effects, making it a classic Read category tool with low severity.

From the tool's definition Tool name 'read_issue' and description 'Read the full body and comments of a GitHub Issue' explicitly indicate data retrieval with no modification or deletion of data.

Documented attack patterns abuse exactly the kind of access read_issue gives an agent:

POLICY

How to control read_issue

PolicyLayer is an MCP gateway — it sits between your AI agents and Gitbridge, and nothing reaches the server without passing your rules. This is the rule we recommend for read_issue:

policy.json

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

read_issue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Gitbridge — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Gitbridge tools

Destructive delete_file Delete a file from a GitHub repository. This is a destructive operation — the file will be Write add_issue_comment Add a comment to an existing GitHub Issue Write create_issue Create a new GitHub Issue in a repository Write create_repo Create a new GitHub repository on a personal account or within an organization Write flush_queue Commit all queued writes for a repository in a single GitHub commit. Call queue_write firs Write move_file Move or rename a file. Reads from old path, writes to new path, then returns a GitHub link Write push_multiple_files Create or update multiple files in a single commit using the Git Data API Write queue_write Queue a file write for batch commit. Writes are held in server memory and flushed together

All 16 Gitbridge tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about read_issue

What does the read_issue tool do? +

Read the full body and comments of a GitHub Issue. It is categorised as a Read tool in the Gitbridge MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_issue? +

Register the Gitbridge MCP server in PolicyLayer and add a rule for read_issue: 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 Gitbridge. Nothing to install.

What risk level is read_issue? +

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

Can I rate-limit read_issue? +

Yes. Add a rate_limit block to the read_issue 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 read_issue completely? +

Set action: deny in the PolicyLayer policy for read_issue. 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 read_issue? +

read_issue is provided by the Gitbridge MCP server (iotus/gitbridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gitbridge tool call.

Start from Gitbridge, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →