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Coding Agent MCP Server

Coding Agent MCP Server

by Sukarth
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

format_json

Format and validate JSON strings with customizable indentation and optional key sorting.

Instructions

Format and validate JSON

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": {
      "json": "<json>"
    },
    "name": "format_json"
  }
}

Input Schema

NameRequiredDescriptionDefault
jsonYesJSON string to format
indentNoIndentation spaces
sortKeysNoSort object keys

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

C2.9/5.0
Behavior2/5

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

No annotations exist, so the description carries full burden. It mentions validation but does not disclose error handling behavior (e.g., throwing exceptions for invalid JSON) or other traits like order preservation.

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 extremely concise (one phrase), but it borders on underspecification. It is front-loaded but lacks additional detail that could be included without being verbose.

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 3 parameters and no output schema, the description provides minimal context beyond the schema. It lacks information about validation outcomes, error handling, or return format, making it adequate but incomplete.

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?

Input schema coverage is 100%, so baseline is 3. The description adds no parameter meaning beyond the schema; it repeats the tool's purpose without elaborating on parameters like indent or sortKeys.

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

Purpose4/5

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

The description 'Format and validate JSON' clearly states the tool's purpose with a specific verb ('Format') and resource ('JSON'), and it distinguishes from sibling tools as no other tool explicitly formats JSON.

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, nor does it mention exclusions or contexts. Its usage is implied but not articulated.

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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