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mayrsascha

Shumi AI

by mayrsascha

Category detail

get_category
Read-only

Get trend breakdown, member coins, and sentiment for any crypto category.

Instructions

Detail for one category. view=info (trend breakdown), coins (member coins), sentiment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoKeep only the first N items (default 50). Raise for more, lower to save tokens.
nameYesCategory name, e.g. "Layer 2".
viewNoWhich category view to return.info
fieldsNoToken-saving: comma-separated top-level fields to keep.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds behavioral context on the different views and token-saving options (top, fields), providing value beyond the 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 concise and front-loaded, but the shorthand 'view=info (trend breakdown)' may be slightly cryptic for some users.

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

Completeness5/5

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

Given the existence of an output schema and the complete parameter descriptions, the description fully covers the tool's behavior without needing to detail return values.

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 coverage is 100%, so baseline is 3. The description adds some extra context (e.g., example for name, explanation of top), but largely mirrors the schema's parameter descriptions.

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 it returns 'Detail for one category' and lists the three views (info, coins, sentiment), making the purpose specific and distinct from siblings like list_categories or get_narrative.

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 retrieving category details but does not explicitly state when to use this tool over alternatives or when not to use it.

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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