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plan_ui_fixes

Analyze UI issues and generate a plan of patches with risk and confidence scores, enabling informed decisions before applying fixes.

Instructions

Build a dry-run UI fix plan from diagnosis evidence and app graph data.

Returns on success: { patches[], summary, caveats[] } where every patch includes risk, confidence, affected files, operations, and writeSafe. This tool never modifies source files.

Use this tool: to decide what a human or coding agent should patch before calling memi fix apply or making manual edits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoLocal path or public URL to scan. Defaults to the current project root.
maxFilesNoMaximum source files to scan.
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the non-destructive nature ('This tool never modifies source files') and describes the return structure, but lacks details on prerequisites or error conditions.

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?

Two concise paragraphs front-load key information: function, return structure, safety, and usage. Every sentence adds value with no redundancy.

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

Completeness4/5

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

Given limited parameters and no output schema or annotations, the description adequately covers purpose, usage, and safety. However, it does not explain how to obtain diagnosis evidence, a minor gap.

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% with both parameters described. The description adds no meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

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 'Build a dry-run UI fix plan' and distinguishes from sibling tools by emphasizing it never modifies source files, making its purpose distinct from apply tools.

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?

Explicitly states 'Use this tool: to decide what a human or coding agent should patch before calling memi fix apply or making manual edits.' This defines when to use it but does not list alternative tools for similar tasks.

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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