count_lines
Count the number of lines in any text input to analyze its structure and length quickly.
Instructions
Count lines in text
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to analyze |
Count the number of lines in any text input to analyze its structure and length quickly.
Count lines in text
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The text to analyze |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description must disclose behavior, but it does not specify what constitutes a 'line' (e.g., handling of empty strings or trailing newlines) or the return value format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no unnecessary words, fitting the simplicity of the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool, the description is mostly sufficient but lacks details on edge cases (e.g., empty input) and return value, which reduces completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema coverage, the schema already describes the 'text' parameter. The description adds minimal extra meaning beyond echoing 'in text', so baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Count lines in text' uses a specific verb (count) and resource (lines), clearly distinguishing it from sibling tools like count_characters and count_words.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 over alternatives such as count_characters or count_words, leaving the agent without context for selection.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cicatriiz/text-toolkit'
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