input_text

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

With no annotations, the description carries the full burden of behavioral disclosure. It only hints at a dependency on 'virtual canvas data' and does not explain key behaviors such as default clearing (though schema mentions it), focus handling, side effects, or failure modes. This is a significant gap for a mutation-like tool.

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, focused sentence that front-loads the action ('Input text') and specifies the context ('form field', 'virtual canvas data'). It is concise and contains no unnecessary words.

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?

Given no annotations and no output schema, the description should clarify prerequisites and error conditions. It vaguely references 'virtual canvas data' but does not explicitly mention that extract_virtual_canvas should be called first or what constitutes a valid element_id. It also omits what happens on failure, leaving important gaps for an agent.

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?

Schema description coverage is 100%, so parameters are already well-documented. The description merely echoes the schema's element_id reference and adds no extra constraints, format details, or relationships. It meets the baseline for high coverage but does not exceed it.

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 clearly states the tool's function with a specific verb ('Input'), a target resource ('form field'), and a distinctive data source ('virtual canvas data'). This distinguishes it from sibling tools like click_element_by_xpath, which handles clicks, not text entry.

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 gives clear context for when to use the tool—entering text into form fields—and the mention of 'virtual canvas data' implies it works in conjunction with canvas extraction tools. However, it does not explicitly discuss alternatives or when not to use it, so it falls short of a top score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.