Return the chunk's language, label, and all key=value options.
AI agents call get_chunk_options to retrieve information from Ast Editor without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns metadata about a code chunk (language, label, options) without creating, modifying, deleting, or executing any code. It is a pure read operation with no side effects, making it the lowest risk category.
From the tool's definition Tool name 'get_chunk_options' and description 'Return the chunk's language, label, and all key=value options' indicate a retrieval operation with no modification of data.
Documented attack patterns abuse exactly the kind of access get_chunk_options gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ast Editor, and nothing reaches the server without passing your rules. This is the rule we recommend for get_chunk_options:
{
"version": "1",
"default": "deny",
"tools": {
"get_chunk_options": {}
}
}get_chunk_options is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return the chunk's language, label, and all key=value options. It is categorised as a Read tool in the Ast Editor MCP Server, which means it retrieves data without modifying state.
Register the Ast Editor MCP server in PolicyLayer and add a rule for get_chunk_options: 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 Ast Editor. Nothing to install.
get_chunk_options 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_chunk_options 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_chunk_options. 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_chunk_options is provided by the Ast Editor MCP server (kambleakash0/agent-skills). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ast Editor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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59 Ast Editor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.