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mentu-ai

MetaMCP

by mentu-ai

mcp_execute

Execute JavaScript code in a V8 sandbox, calling any MCP server tool via servers..call(). Supports async/await and console logging.

Instructions

Code-mode execution in V8 sandbox. Access provisioned servers via servers.<name>.call(tool, args). Supports async/await, sleep(ms), console.log.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesCode to execute
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description shoulders full burden. It discloses sandboxing, async/await, sleep, and server access, but omits details like error handling, return value format, persistence, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose, every sentence adds value. No redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Lacks critical details for a code execution tool: what is returned (execution result), restrictions (network, filesystem), lifecycle (one-shot), and output capture. Relies heavily on inferred context from sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema only describes 'code' as 'Code to execute'. Description adds significant context: V8 sandbox, ability to use async/await, sleep, console.log, and call provisioned servers. This goes beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it executes code in a V8 sandbox, with explicit mention of accessing provisioned servers. This distinguishes it from sibling tools like mcp_call which directly call server tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for running arbitrary JavaScript with sandbox access, and contrasts with direct server calls by showing servers.<name>.call syntax. However, it lacks explicit when-to-use vs. alternatives guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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