Skip to main content
Glama

compare_execution

Run the same code in multiple programming languages side by side, comparing stdout, stderr, exit codes, and execution time to identify the fastest.

Instructions

Run the same code in multiple languages side by side.

snippets maps language name -> code (each snippet must be valid in its own language). Returns per-language stdout/stderr/exit/duration plus which was fastest. Example: {"python3": "print(67)", "node": "console.log(67)"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stdinNo
timeoutNo
snippetsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed6 schema fields changedv0.2.0
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / snippets / title
      Added value: +"Snippets"
    • addedInput schema / properties / stdin / title
      Added value: +"Stdin"
    • addedInput schema / properties / timeout / title
      Added value: +"Timeout"
    • addedInput schema / title
      Added value: +"compare_executionArguments"
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": true,
      -  "type": "object"
      -}New value: +null
  2. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose key behavior: per-language stdout/stderr/exit/duration and which was fastest, plus the requirement that each snippet be valid. However, it omits important execution context like sandboxing, network access, failure handling, and how stdin/timeout affect execution.

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?

The description is compact, front-loaded with the core purpose, and includes a helpful example. Every sentence adds value, and the formatting with a code snippet makes it easy to scan.

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

Completeness3/5

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

For a tool with no annotations and no output schema, the description provides a reasonable overview of purpose, input, and return categories. However, it leaves gaps around stdin/timeout semantics, language availability, and failure/error behavior, which are relevant for a code-execution tool.

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 description coverage is 0%, but the description compensates well for the primary parameter 'snippets' by explaining the language-to-code mapping and giving an example. It does not explain the 'stdin' or 'timeout' parameters at all, relying on the schema's defaults, so compensation is incomplete.

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 a specific action: 'Run the same code in multiple languages side by side.' It also explains the return value (stdout/stderr/exit/duration plus fastest) and gives a concrete example, making the tool's purpose unambiguous and distinguishing it from single-language execution tools like execute_code.

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 when to use the tool: when comparing the same code across multiple languages. However, it does not explicitly mention alternatives or exclusion cases, such as 'use execute_code for a single language' or 'use benchmark for detailed performance analysis.'

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/The-40-Thieves/codecalc'

If you have feedback or need assistance with the MCP directory API, please join our Discord server