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test_crud

Test a complete CRUD cycle for web applications by creating, verifying, editing, and deleting items. Automatically validates that each action persists, ensuring data integrity across the application.

Instructions

Test a complete Create → Verify → Edit → Verify → Delete → Verify cycle.

Navigates to the create form, fills it, submits, then verifies the item exists on the list page. Then finds edit/delete buttons and tests those too.

Args: create_url: URL of the create/new form (e.g. "/tasks/new") list_url: URL where created items appear (e.g. "/tasks") item_data: Dict of field:value pairs for creating the item item_name_field: Key in item_data that identifies the item (e.g. "title"). Auto-detects if empty.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
create_urlYes
list_urlYes
item_dataYes
item_name_fieldNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the sequence of actions (navigate, fill, submit, verify, edit, delete). However, it does not mention potential side effects, error handling, or assumptions about page structure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the main action and structured with a bullet-like list. While it is somewhat lengthy, every sentence adds value. It could be slightly more concise but remains effective.

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 no annotations and an output schema that is not described in the input, the description does not mention return values or what the tool outputs. For a complex CRUD test, this is a notable omission, though input parameters are well covered.

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

Parameters5/5

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

The schema has 0% description coverage, but the description includes an 'Args' section that fully explains each parameter (create_url, list_url, item_data, item_name_field) with examples and auto-detection behavior, going well beyond the schema's bare property names.

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 'Test a complete Create → Verify → Edit → Verify → Delete → Verify cycle', which is a specific verb and resource. It distinguishes from sibling tools like test_form and test_action by explicitly describing a full CRUD cycle.

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?

The description implies usage for testing the full life cycle of an item. However, it does not explicitly state when to use this tool versus alternatives (e.g., test_form for single form testing) or when not to use it.

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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