Find actionable syntax errors with detailed context and fix suggestions
AI agents call check_errors to retrieve information from Tree-Sitter MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs static analysis to detect and report syntax errors. It retrieves information about code quality issues but does not execute code, modify files, delete data, or trigger external operations. The suggestions provided are informational only. The blast radius of misuse is minimal—an AI agent cannot cause harm by running error checks on code.
From the tool's definition Tool description states 'Find actionable syntax errors with detailed context and fix suggestions' - a read-only diagnostic operation that analyzes code without modifying it.
Documented attack patterns abuse exactly the kind of access check_errors gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tree-Sitter MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for check_errors:
{
"version": "1",
"default": "deny",
"tools": {
"check_errors": {}
}
}check_errors is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Find actionable syntax errors with detailed context and fix suggestions. It is categorised as a Read tool in the Tree-Sitter MCP MCP Server, which means it retrieves data without modifying state.
Register the Tree-Sitter MCP server in PolicyLayer and add a rule for check_errors: 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 Tree-Sitter MCP. Nothing to install.
check_errors 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 check_errors 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 check_errors. 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.
check_errors is provided by the Tree-Sitter MCP server (nendotools/tree-sitter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tree-Sitter MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Tree-Sitter MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.