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Pentagonal

Pentagonal

Official
by Pentagonal-ai
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TypeScript
Hybrid

pentagonal_compile

Compile Solidity smart contracts to generate ABI, bytecode, constructor arguments, and gas estimates for deployment preparation.

Instructions

Compile Solidity source code and return the ABI, bytecode, constructor arguments, and gas estimates. Use this after generating and auditing a contract to prepare it for deployment.

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": {
      "code": "<code>"
    },
    "name": "pentagonal_compile"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYesSolidity source code to compile
contract_nameNoSpecific contract name to compile (auto-detected if omitted)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
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 mentions the tool compiles code and returns specific outputs (ABI, bytecode, etc.), which is helpful. However, it lacks details on error handling, performance characteristics, or any behavioral constraints like rate limits or dependencies, leaving gaps in transparency.

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 two sentences, front-loaded with the core purpose and followed by usage guidance. Every sentence adds value without redundancy, making it efficient and well-structured for quick understanding.

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?

Given the complexity (compilation tool with no annotations and no output schema), the description covers purpose and usage well but lacks details on output format, error cases, or integration with siblings. It's adequate for basic use but incomplete for full agent guidance without additional context.

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?

The schema description coverage is 100%, so the schema already documents both parameters ('code' and 'contract_name') fully. The description does not add any additional meaning or context beyond what the schema provides, such as examples or edge cases, meeting the baseline for high schema coverage.

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 specific action ('Compile Solidity source code') and the resources/outputs ('return the ABI, bytecode, constructor arguments, and gas estimates'). It distinguishes from siblings like 'pentagonal_audit' by specifying this is for preparation after auditing, not for auditing itself.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool ('Use this after generating and auditing a contract to prepare it for deployment'), providing clear context and distinguishing it from alternatives like 'pentagonal_generate' or 'pentagonal_audit' without naming them directly.

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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