AI agents call get_github_issue to retrieve information from Web Search MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves GitHub issue information without modifying or deleting data. The lack of description reduces confidence slightly, but the naming convention and server's stated purpose (content extraction and search) strongly indicate read-only behavior. No side effects, code execution, financial, or destructive operations are implied.
From the tool's definition Tool name 'get_github_issue' and server context (Web Search MCP providing 'content extraction capabilities') indicate retrieval of GitHub issue data.
Documented attack patterns abuse exactly the kind of access get_github_issue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Web Search MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_github_issue:
{
"version": "1",
"default": "deny",
"tools": {
"get_github_issue": {}
}
}get_github_issue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_github_issue. It is categorised as a Read tool in the Web Search MCP MCP Server, which means it retrieves data without modifying state.
Register the Web Search MCP server in PolicyLayer and add a rule for get_github_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 Web Search MCP. Nothing to install.
get_github_issue is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_github_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.
Set action: deny in the PolicyLayer policy for get_github_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.
get_github_issue is provided by the Web Search MCP server (sydasif/web-search-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Web Search MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 Web Search MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.