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auto_fill_form

Automatically detect and fill all form fields with smart test data, inferring types like email, name, and address, with optional form submission.

Instructions

Auto-detect all form fields, infer their types (email, phone, name, address, etc.), fill with smart test data, and optionally submit. Replaces 5-10 tool calls with one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
submitNoSubmit the form after filling (default: false)
overridesNoOverride auto-detected values: {selector: value} (e.g. {"#email": "custom@test.com"})
session_idYesSession ID
form_selectorNoCSS selector for the form (default: first form on page)
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses core behavior (auto-detect, infer, fill, optionally submit) but does not mention potential side effects, destructive actions, authentication needs, or limits. It adds some context but lacks depth for a full behavioral profile.

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 two sentences long, front-loaded with the primary action, and wastes no words. Every part adds value, and the value proposition is clear.

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 has 4 parameters, no output schema, and no annotations, the description provides adequate high-level context but lacks details on error behavior, default submission behavior when 'submit' is false, and what constitutes 'smart test data.' It is sufficient but not comprehensive.

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 coverage is 100%, so baseline is 3. The description reinforces the purpose of parameters (e.g., overrides for custom values) but does not add significant new meaning beyond what the schema already provides.

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 tool auto-detects form fields, infers types, fills with test data, and optionally submits. It explicitly distinguishes itself from siblings by noting it replaces 5-10 tool calls with one, indicating a specific resource (form fields) and verb (auto-detect, fill, submit).

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

Usage Guidelines3/5

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

The description implies usage by stating it replaces multiple tool calls, but it does not provide explicit guidance on when to use versus alternatives like fill_form, or when not to use it. The advice is implied rather than explicit.

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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