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propose_schema

Generate a data schema from a natural language prompt. Define data structure without manual coding.

Instructions

Propose a schema from natural language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localeNoen_US
promptYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only states the action but omits any side effects, permissions, idempotency, rate limits, or return behavior beyond what output schema might cover. This is insufficient.

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

Conciseness4/5

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

The description is a single sentence, front-loaded with the core action. It is concise with no wasted words, though it may be too brief.

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 the tool has a sibling 'refine_schema' and two parameters (one required), the description lacks necessary context such as how the tool differs from alternatives, the expected input style, and any limitations. The presence of an output schema partially compensates for return value explanation, but overall completeness is low.

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%, meaning the schema properties lack any descriptions. The tool description does not explain the purpose or format of the 'prompt' and 'locale' parameters, failing to compensate for the missing schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (propose) and resource (schema) and the source (natural language). However, it does not distinguish the tool from its sibling 'refine_schema', which could cause confusion. Thus, purpose is clear but lacks sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions. The single sentence offers no usage context.

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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