Skip to main content
Glama

generate_numeronym

Convert text into a numeronym by replacing the internal letters with the number of characters between the first and last letter.

Instructions

Generate numeronyms (abbreviations with numbers) from text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to numeronym
Behavior3/5

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

The description does not contradict the annotations (readOnlyHint: false). It correctly indicates generation, which is a write-like operation. However, it adds no extra behavioral details beyond the basic function, such as whether it works on multi-word input or handles special characters.

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 sentence that immediately states the purpose. It is concise with no wasted words, and the key information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description is mostly complete. The only small gap is that it does not illustrate what a numeronym looks like, but the term is self-explanatory enough.

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 a parameter description 'Text to convert to numeronym'. The tool description adds no additional meaning beyond what the schema already provides, so baseline score of 3 applies.

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 purpose: generating numeronyms from text. It uses a specific verb 'Generate' and identifies the resource 'numeronyms'. Among siblings, no other tool does this, so it is well-distinguished.

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 or when not to use it. Given the many sibling text transformation tools, explicit usage context would help an agent decide, but it's missing.

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