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hlpun

Train in Silence

by hlpun

probe_market

Plan LLM training or inference jobs and compare GPU options across cloud providers to find suitable resources.

Instructions

Run market aggregation for a planning request and return provider statuses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNo0.1.6
providersYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states what the tool does but not side effects, idempotency, or whether it requires specific permissions. The description does not compensate for the lack of annotations.

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, front-loaded sentence with no waste. However, it is possibly too terse, missing opportunities to add value.

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 complex nested input schema and no annotations, the description is insufficient. It does not explain the return value (despite an output schema existing), error conditions, or how the aggregation works. For a planning-related tool, more context is needed.

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?

The sole parameter 'payload' lacks a description in the schema (coverage 0%), and the tool description adds no explanation of its purpose or structure. The nested schema has field descriptions, but the top-level parameter is undocumented.

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 uses a specific verb ('Run market aggregation') and identifies the resource ('planning request') and output ('provider statuses'). It distinguishes from siblings like dump_market_offers and list_providers, which handle specific aspects of market data.

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 like dump_market_offers or validate_request. No context about prerequisites or preferred use cases is given.

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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