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DailyNoBug

Playwright Browser MCP Server

by DailyNoBug

Generate Data Schema

browser.generate_data_schema

Generate TypeScript, Zod, or JSON schema from the latest table or form extraction to ensure data consistency and validation.

Instructions

Generate TypeScript/Zod/JSON schema from latest table or form extraction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatYes
sourceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
formatYes
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does not mention prerequisites (e.g., a prior extraction must exist), error behavior, or the read-only nature of the operation. This is a significant gap for a tool with no annotation support.

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 sentence that front-loads the action verb and resource. It contains no redundant words and is appropriately concise for a simple utility tool.

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?

The tool has a simple structure with two enum parameters and an existing output schema, so a minimal description might suffice. However, it lacks any mention of prerequisites, session context, or error handling. Given the absent annotations, the description is barely adequate.

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 description coverage is 0%, so the description must compensate. It does mention both parameter concepts ('TypeScript/Zod/JSON' corresponding to format and 'table or form extraction' corresponding to source), but it does not explain deeper semantics like what 'latest' means or differences between formats. This is partial compensation.

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 uses a specific verb 'generate' with a clear resource ('TypeScript/Zod/JSON schema') and source ('latest table or form extraction'). This distinguishes it from sibling tools like generate_playwright_script and generate_page_object, which generate different artifacts.

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?

Usage is implied by referencing 'latest table or form extraction,' suggesting the tool is used after an extraction. However, there is no explicit guidance on when to choose this tool over alternatives like export_extraction_result or generate_playwright_script, nor any 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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