Skip to main content
Glama

generate_numeronym

Convert text into numeronyms by abbreviating words with numbers, creating compact representations like 'i18n' from 'internationalization'.

Instructions

Generate numeronyms (abbreviations with numbers) from text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to numeronym
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While 'generate' implies a creation operation, the description doesn't specify whether this is deterministic, what format the output takes (e.g., string format like 'i18n' for 'internationalization'), or if there are any constraints (e.g., minimum text length). It mentions the concept but not the implementation behavior.

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 a single, efficient sentence: 'Generate numeronyms (abbreviations with numbers) from text'. It's front-loaded with the core purpose, includes a parenthetical explanation of 'numeronyms', and wastes no words. Every part of the sentence contributes to understanding the tool's function.

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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what the output looks like (e.g., format examples), whether there are edge cases (e.g., handling of short words), or how it relates to sibling text transformation tools. For a tool with no structured behavioral hints, more descriptive context is needed to guide effective use.

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 description mentions 'from text' which aligns with the single 'text' parameter in the schema. Since schema description coverage is 100% (the parameter has a clear description: 'Text to convert to numeronym'), the baseline is 3. The description adds minimal value beyond what's already documented in the schema, as it doesn't provide additional context about parameter expectations or examples.

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's purpose: 'Generate numeronyms (abbreviations with numbers) from text'. It specifies the verb ('generate') and resource ('numeronyms'), and defines what a numeronym is. However, it doesn't explicitly differentiate from sibling tools like 'convert_text_to_camelcase' or 'slugify_text', which also transform text but in different ways.

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. With many sibling tools that manipulate text (e.g., 'convert_text_to_camelcase', 'slugify_text', 'convert_text_to_binary'), there's no indication of when numeronym generation is appropriate versus other text transformations. The description lacks context about typical use cases or prerequisites.

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

Install Server

Other Tools

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/wrenchpilot/it-tools-mcp'

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