Skip to main content
Glama

Type into Field by Description

type_into
Destructive

Type text into the input element best matching a description. Automates form field completion for web QA agents.

Instructions

Type text into the input element best matching description.

Examples: type_into("email", "alice@x.com"), type_into("confirm password", "...") , type_into("the search box", "buy"). Resolution rules are the same as click_what — see that tool for ambiguity behaviour.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
descriptionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, making the mutation behavior transparent. The description adds no additional behavioral context beyond the action.

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 concise, front-loaded with purpose, and includes essential examples and cross-references without extraneous text.

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?

Given the simple parameter set and presence of output schema and annotations, the description is largely complete, though it could add detail on behavior when no match is found.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, the description only provides examples for 'text' and 'description' but does not explain the matching resolution or constraints for 'description', leaving parameter semantics underspecified.

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 action ('Type `text`') and the resource ('input element best matching `description`'), with examples that differentiate from sibling tool 'click_what' by referencing its resolution rules.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Examples and cross-reference to 'click_what' for ambiguity behavior provide clear usage guidance, though it lacks explicit 'when not to use' context.

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/chriswu727/argus'

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