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muhammedehab35

JSON2TOON MCP Server

suggest_abbreviations

Analyze your JSON data and suggest custom abbreviations for keys that occur at least a specified number of times, reducing redundancy and token count.

Instructions

Generate custom key abbreviations for your data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
json_dataYesJSON data to analyze
min_frequencyNoMinimum key frequency to suggest abbreviation
Behavior2/5

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

With no annotations provided, the description must disclose behavioral traits. It only says 'generate', leaving side effects, permissions, and return behavior unspecified. Minimal transparency.

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, front-loaded sentence with no fluff. It is concise but might be too brief, lacking depth for full understanding.

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 no output schema and only two parameters, the description does not explain the output format or behavior beyond generation. It feels incomplete for ensuring correct tool invocation.

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% with clear parameter descriptions. The tool description adds context that abbreviations are 'custom' and for 'your data', but doesn't enhance understanding beyond what the schema already provides.

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 clearly states the tool generates custom key abbreviations from data. It is distinct from sibling tools like analyze_patterns or calculate_metrics, although it doesn't explicitly differentiate.

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?

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or conditions. The description implies usage for key abbreviation generation but lacks exclusions or when-not advice.

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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