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Garden: Free Binance SOLUSDT Trade Sample

search_products

Search product IDs, titles, and human-written summaries, including the free Binance SOLUSDT trade sample (30 rows, not a complete minute). No API key or wallet; paid content is not returned.

Input Schema

NameRequiredDescriptionDefault
queryYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses that no API key or wallet is required, that paid content is excluded, and that the free sample is only 30 rows and not a complete minute. It does not describe matching behavior, result limits, pagination, or ordering, which are important for a search operation.

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 two tight sentences with no wasted language. The core search scope is front-loaded, followed by the access and sample caveats.

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?

The tool has no output schema and no annotations, so the description should carry more of the contract. It covers access constraints and sample limitations but does not explain what the results look like, whether pagination exists, or how many products may be returned.

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 description coverage is 0% for the single query parameter. The description adds meaning by indicating that the query searches product IDs, titles, and human-written summaries, but it does not explain matching semantics such as substring, exact match, case sensitivity, or how the 120-character limit affects behavior.

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 states a specific verb and resource: "Search product IDs, titles, and human-written summaries." This is clearly distinct from list_products, but the description does not explicitly name the sibling tool or explain the boundary, so it falls short of full 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 Guidelines3/5

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

The description gives access constraints ("No API key or wallet; paid content is not returned") and mentions the free sample, which implies when the tool is usable. However, it does not explicitly say when to use search_products versus list_products, preview_product, or the read_* tools.

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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