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debug_code

Analyzes validation errors and provides actionable fix suggestions. Input errors and page content to get analysis and optionally corrected code.

Instructions

Analyzes validation errors and suggests fixes.

Examines the provided errors and page content to identify issues and generate actionable fix suggestions.

Returns: Dictionary with 'analysis', 'suggestions' list, and optionally 'fixed_content'

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorsYes
page_contentYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits; it mentions returning a dictionary with suggestions but does not confirm if the tool modifies state, requires permissions, or has side effects.

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

Conciseness3/5

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

The description has some redundancy (first sentence rephrased in second) and could be more concise, but it is structured with a summary and return list.

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 no output schema and no annotations, the description is incomplete; it does not explain the error format, page content expectations, or details of the analysis dictionary.

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

Parameters1/5

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

Schema description coverage is 0%, and the description does not add meaning beyond parameter names—'errors' and 'page_content' are not clarified in structure or format.

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 analyzes validation errors and suggests fixes, differentiating it from siblings like edit_page, get_metadata, and read_docs which perform different functions.

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 use when validation errors are present with page content, but lacks explicit when-to-use or when-not-to-use guidance compared to sibling tools.

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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