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mayrsascha

Shumi AI

by mayrsascha

Scan trends

scan_trends
Read-only

Scan crypto market trends by state (fresh, stale, aligned, extreme, or historical) and interval, with customizable results via limit and field filters.

Instructions

Trend scanner. state=fresh (newly started), stale (longest running), aligned (multi-timeframe agreement), extreme (biggest moves), historical.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoKeep only the first N items (default 50). Raise for more, lower to save tokens.
limitNoMax results.
stateNoWhich trend slice to return.fresh
fieldsNoToken-saving: comma-separated top-level fields to keep.
intervalNoTrend interval: 1d (daily) or 1w (weekly).

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 by explaining each state filter (fresh, stale, etc.), which is valuable 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 very concise (one sentence plus a list of state values). It front-loads 'Trend scanner' but lacks structure; still, every word earns its place.

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?

Given the tool complexity (5 parameters, output schema exists), the description covers core purpose but misses usage context and parameter relationships. Adequate but leaves gaps.

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 baseline is 3. The description adds some value by explaining the 'state' parameter meanings, but does not add new insight for other parameters like 'top' or 'limit'.

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 'Trend scanner' and defines each state, providing a specific verb and resource. It distinguishes from siblings like 'scan_coins' by focusing on trend states.

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?

No guidance on when to use this tool versus alternatives (e.g., scan_coins, get_global_market). Does not mention when not to use or provide context for tool selection.

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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