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by nymrel

nymrel_a2ui_render

Generate Google A2UI v0.8 declarative JSON decision cards, diff inspectors, and parameter tables in Nymrel Warm Paper for human approvals.

Instructions

Generates Google A2UI v0.8 declarative JSON decision cards, diff inspectors, and parameter tables in signature Nymrel Warm Paper aesthetics (#FAF8F2, #2A332E, #A8541F).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesHuman-facing title of the decision or review card
fieldsNoList of key-value attributes to display
actionsNoList of available human actions (default: ["Approve", "Deny", "Amend"])
summaryYesConcise explanation of the action needing human approval
categoryNoCard interaction typeapproval
Behavior2/5

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

No annotations are provided, and the description only mentions generation without detailing side effects, permissions, error behavior, or whether it modifies state. The description carries the full burden but lacks transparency about these behavioral aspects.

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, clear sentence with no redundant information. It efficiently conveys the tool's function and aesthetic specifications without unnecessary elaboration.

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?

The description covers the tool's primary purpose and output format (JSON decision cards, diff inspectors, parameter tables). It lacks details about the exact JSON structure or any additional behavior, but given the schema covers inputs and no output schema exists, this is sufficient for basic usage.

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?

The schema fully describes all parameters (title, summary, fields, actions, category) with descriptions, so the baseline is 3. The tool description adds no additional semantic meaning beyond that, not explaining any parameter purpose or constraints.

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 explicitly states the tool generates Google A2UI v0.8 declarative JSON decision cards, diff inspectors, and parameter tables, with specific aesthetic details (Nymrel Warm Paper colors), making its purpose unambiguous and distinct from sibling tools.

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 does not explicitly state when to use this tool over alternatives, but the specific output types and style imply its use case. However, no conditions or alternative comparisons are provided, so the guidance is implicit rather than explicit.

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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