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Gemini MCP Server

Gemini MCP Server

by salviz
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gemini_code_execute

Generate and execute code from natural language prompts using Gemini's built-in execution environment.

Instructions

Generate and execute code using Gemini's built-in code execution capability

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "prompt": "<prompt>"
    },
    "name": "gemini_code_execute"
  }
}

Input Schema

NameRequiredDescriptionDefault
modelNoModel to use (default: gemini-3.1-pro-preview)
promptYesThe prompt describing what code to generate and execute

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as execution environment, timeout, side effects, or what happens to generated code. For a code execution tool, this is a significant omission.

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

Conciseness4/5

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

The description is a single sentence with no wasted words. It is concise and well-structured, though more detail could be included without sacrificing conciseness.

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?

Given the complexity of code execution (potential for errors, resource usage, output handling), the description lacks critical context. No output schema or return value explanation is provided, and behavioral traits are absent. The description is inadequate for a tool with no annotations.

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

Parameters3/5

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

Schema coverage is 100%, so parameters are already described. The description does not add additional meaning beyond the schema. The model parameter default is noted but not elaborated, and the prompt parameter is simply restated.

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?

The description clearly states the tool generates and executes code using Gemini's built-in capability, with a specific verb (generate and execute) and resource (code). It distinguishes from sibling tools like gemini_chat or gemini_analyze_image which do not involve code execution.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of when code execution is appropriate, prerequisites, or situations where other tools like gemini_chat or gemini_structured_output might be preferred.

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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