Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

format_text

Change text casing, remove characters, split text, strip HTML, or truncate content with this versatile text formatting tool. Provide format type and input to get formatted output.

Instructions

Change casing, remove characters, split text, remove HTML, or truncate text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
format_typeYesSelect the type of formatting to apply to the text.text
delimiterNoFor use with "Remove Characters", "Replace Characters", and "Split Text by Delimiter" to specify the character to remove or replace, and by "Truncate" to specify the number of characters to truncate to.
input_textYesEnter the text to be formatted, such as 'Hello, World!' or '123 Main St, Anytown'.
output_variable_nameYesProvide a variable name to store the formatted text, like 'formatted_text' or 'cleaned_data'.
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It lists operations but fails to disclose side effects, security implications, or behavior beyond the obvious. For example, it does not mention that the tool is non-destructive or that it stores output to a variable.

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, front-loaded sentence that uses concise language to list core operations. Every word serves a purpose, with no redundancy or filler.

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?

Given the tool's simplicity (4 parameters, no output schema), the description adequately covers the high-level purpose but omits details like the output storage mechanism and delimiter usage. It is minimally complete.

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 description coverage is 100%, so the description does not need to add parameter details. The description adds no additional meaning beyond the schema, providing a baseline score of 3.

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 'Change casing, remove characters, split text, remove HTML, or truncate text' clearly lists several text transformation operations, making it clear this is a general text formatting tool. However, it does not mention all format types in the enum (e.g., join_text, convert_to_json), and it lacks specificity that would distinguish it from unrelated siblings.

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, nor any conditions or prerequisites. It simply lists capabilities without contextual cues for agent selection.

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/OnStartups/agentai-mcp-server'

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