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market_ask

Execute shopping tasks using natural-language commands. Buy products, repeat purchases, or compare items from your marketplace store.

Instructions

[Shop] Natural-language shopping. Examples: 'buy milk', 'repeat last purchase', 'compare rice'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesNatural-language instruction
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the tool modifies state (e.g., adds to cart), returns results, or requires authentication. For a tool with no annotations, 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.

Conciseness5/5

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

The description is extremely concise, one sentence with examples. No filler or repetition.

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

Completeness3/5

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

For a simple tool with one parameter and no output schema, the description provides purpose and examples but lacks behavioral context. It is adequate but not thorough.

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 single parameter 'prompt' is described in the schema as 'Natural-language instruction', and the description adds examples. Since schema coverage is 100%, the baseline is 3, and the description adds minimal extra meaning.

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 identifies the tool as natural-language shopping, with specific examples ('buy milk', 'repeat last purchase', 'compare rice') that differentiate it from siblings like market_search or market_compare.

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 gives examples of use but does not explicitly state when to use this tool versus alternatives or when not to use it. It provides minimal guidance on 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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