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suggest_error_message

Generate user-friendly error message suggestions from error scenarios, providing tone guidance and accessibility considerations to improve UX.

Instructions

Get user-friendly error message suggestions for specific scenarios. Returns message, tone guidance, and accessibility considerations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scenarioYesError scenario (e.g., 'invalid email', 'required field', 'payment failed', 'file too large')
contextNoOptional: Additional context about the error
technical_messageNoOptional: Technical error message to translate to user-friendly language
Behavior2/5

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

No annotations provided; description only lists outputs (message, tone, accessibility) but omits any behavioral traits like read-only nature, required permissions, or response format. Insufficient 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?

Two concise sentences: first states purpose, second lists outputs. No redundancy or filler.

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?

Covers purpose and outputs adequately for a simple suggestion tool with no output schema. Could mention output structure but not critical.

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 covers all parameters with descriptions; description adds no extra meaning beyond listing return types. Baseline 3 from high schema coverage.

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?

Clearly states it returns error message suggestions including tone and accessibility. Distinct from sibling suggestion tools like suggest_microcopy which covers broader microcopy.

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?

Describes usage as 'for specific scenarios' but does not explicitly differentiate from alternatives like suggest_microcopy or provide when-not-to-use guidance.

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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