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DeriveAI x402 APIs

by io.github.deriveit33z-ship-it
OverviewDiscussionsAdmin

legal_simplifier

Legal jargon simplifier. Takes contract clauses, terms of service, or privacy policy text and returns: plain English explanations of legal terms, red flags, key obligations, complexity score, and risk level.

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": {
      "text": "<text>"
    },
    "name": "legal_simplifier"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesLegal text to analyze (max 20,000 chars)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations provided, the description carries full responsibility for disclosing behavioral aspects. It mentions the input type and outputs but does not address potential side effects, required permissions, rate limits, or any state changes. The tool appears to be a read-only analysis, but this is not explicitly stated.

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 concise, consisting of two sentences, and uses efficient, direct language. It avoids redundancy and includes all necessary information without fluff.

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?

Since there is no output schema, the description lists the types of outputs (plain English explanations, red flags, key obligations, complexity score, risk level) but does not specify their structure, format, or how they are presented. This provides a general idea but lacks detail for a consumer to fully understand the return value.

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?

The sole parameter 'text' has a description that adds a maximum length constraint (20,000 chars), which is not present in the schema type alone. This provides additional useful context, though it could be more detailed regarding accepted formats or examples.

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's function (simplifies legal jargon), specifies input types (contract clauses, terms of service, privacy policy text), and lists the expected outputs (plain English explanations, red flags, key obligations, complexity score, risk level). It is distinct from sibling 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 implicitly indicates the tool is for legal text analysis, but it does not explicitly state when to use it versus alternatives or provide any negative usage conditions. No when-not or alternative guidance is given.

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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