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qt_type

Type text into PySide6 application widgets for automated UI interaction. Specify a widget reference and text content to simulate user input.

Instructions

Type text into a widget.

Args:
    ref: Widget ref from qt_snapshot.
    text: Text to type.
    clear_first: If True, select all and delete before typing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYes
textYes
clear_firstNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the basic action of typing text and the 'clear_first' option, but fails to address critical behavioral aspects such as whether this requires specific widget states (e.g., editable), potential side effects (e.g., triggering events), error handling, or performance considerations like rate limits. This leaves significant gaps in understanding the tool's 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 highly concise and well-structured, with a clear purpose statement followed by bullet-point parameter explanations. Every sentence adds value without redundancy, making it easy to parse and understand quickly, which is ideal for tool selection.

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 moderate complexity (3 parameters, no annotations, but with an output schema), the description is partially complete. It covers the basic action and parameters but lacks details on behavioral traits, usage context, and error handling. The presence of an output schema mitigates the need to explain return values, but overall, the description falls short of providing a fully comprehensive understanding for safe and effective use.

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

Parameters4/5

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

The description adds meaningful semantics beyond the input schema, which has 0% description coverage. It explains that 'ref' is a 'Widget ref from qt_snapshot', clarifying its source and purpose, and describes 'clear_first' as 'select all and delete before typing', providing crucial context not evident from the schema alone. However, it does not elaborate on 'text' beyond its name, leaving some parameter details implicit.

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 action ('Type text into a widget') and identifies the resource ('widget'), making the purpose immediately understandable. However, it does not explicitly differentiate this tool from potential siblings like 'qt_get_text' or 'qt_set_property', which might involve text retrieval or property changes, leaving some ambiguity in sibling distinction.

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, such as 'qt_set_property' for text input or 'qt_key_press' for simulated typing. It mentions 'ref: Widget ref from qt_snapshot' as a prerequisite but lacks explicit when-to-use or when-not-to-use instructions, offering minimal contextual direction.

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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