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mayrsascha

Shumi AI

by mayrsascha

Scan / filter coins

scan_coins
Read-only

Filter crypto coins by trend direction, category, market cap range, and exchange listing to narrow your tracked universe.

Instructions

Filter the tracked universe by trend direction, category, market-cap band, and exchange.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoKeep only the first N items (default 50). Raise for more, lower to save tokens.
limitNoMax results.
trendNoFilter by trend direction.
fieldsNoToken-saving: comma-separated top-level fields to keep.
categoryNoFilter by category name, e.g. "Layer 2".
exchangeNoFilter by exchange listing.
intervalNoTrend interval: 1d (daily) or 1w (weekly).
mcap_maxNoMaximum market cap in USD.
mcap_minNoMinimum market cap in USD.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior3/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the safety profile is clear. The description does not add behavioral details beyond the annotations (e.g., no mention of pagination or result format). No contradiction.

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, front-loaded sentence of 17 words with no redundancy. Every word contributes to the purpose.

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?

Given the presence of an output schema and 9 optional parameters, the description provides sufficient high-level context. It could mention that results are a filtered list, but the output schema fills that gap.

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 100%, so each parameter is already described in the input schema. The tool description adds no additional meaning beyond summarizing filter dimensions.

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 states the tool filters coins by trend direction, category, market-cap band, and exchange. This distinguishes it from siblings like scan_trends or get_prices by specifying the exact filtering dimensions.

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 implies usage for filtering the tracked universe but does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives among siblings. Some context is given by listing filter criteria.

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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