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SikandarMirza

Superior Browser MCP

smart_fill_form

Auto-detect form fields and fill them with provided data using labels, names, and types. Optionally submit the form automatically after filling.

Instructions

🆕 Auto-detect form fields and fill them intelligently based on field labels, names, and types

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formDataYesKey-value pairs where keys are field labels/names and values are the data to fill
submitAfterNoAutomatically submit form after filling
formSelectorNoSpecific form to target (auto-detects if not provided)
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 disclosing behavior. It mentions auto-detection and intelligent filling, but fails to disclose side effects like optional form submission (submitAfter), selector targeting, or any errors or return values. The behavioral surface is largely undisclosed.

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 with no redundancy. It efficiently conveys the core purpose without wasted words, earning top marks for conciseness and structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is insufficiently complete. It does not cover the behavior of submitAfter and formSelector, nor what the tool returns or how it handles failures or ambiguous field detection, leaving the agent with significant gaps.

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?

The input schema provides complete descriptions for all three parameters (100% coverage), so the baseline is 3. The description adds marginal value by explaining that field detection is based on labels, names, and types, which relates to the formData parameter, but does not elaborate beyond the schema.

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 tool's function: auto-detecting form fields and filling them intelligently based on labels, names, and types. While it distinguishes itself from a generic fill tool by emphasizing 'auto-detect' and 'intelligently', it does not explicitly name or contrast with sibling tools like browser_fill_form.

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?

No explicit guidance is given on when to use this tool versus alternatives such as browser_fill_form or get_form_analysis. The description implies use for forms with ambiguous selectors, but there is no clear context, prerequisites, or exclusions.

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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