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Get Top Market Movers

get_top_movers
Read-only

Retrieve top stock market movers by percentage gain, loss, or volume. Filter by session (premarket, regular, after-hours) and optionally include penny stocks.

Instructions

Top stock movers — gainers (largest % up), losers (largest % down), or active (highest volume). Optional session window (premarket / regular / afterhours; regular default; not supported for active). Penny-stock artifacts are filtered by default — set includePennyStocks to include sub-$1 movers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional max rows (1–100). Backend default applied when omitted.
sessionNoSession window: premarket (4:00–9:30 AM ET), regular (RTH close-to-close, default), afterhours (4:00–8:00 PM ET).regular
directionYesMover direction: gainers, losers, or active (volume)
includePennyStocksNoLoosen penny-stock artifact guards. Default false enforces prev_close >= $1 and a $1M dollar-volume floor. Set true to allow sub-$1 movers (prev_close >= $0.10, no dollar-volume floor). The ABS(change_pct) <= 500 cap applies in both modes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description adds behavioral context beyond that: default penny-stock filtering with specific thresholds, session window constraints, and the optional includePennyStocks parameter behavior. No contradiction with annotations.

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 three concise sentences, front-loaded with the core purpose, and covers all necessary details without redundancy. Every sentence adds value.

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 tool has an output schema (implied true), the description is complete: it explains all parameters, default behaviors, and constraints (session not supported for active, penny-stock filtering). No gaps for a read-only data retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, baseline 3. The description adds valuable context: for 'session' it provides ET time ranges, for 'includePennyStocks' it explains the default filter and what true/false mean, and for 'direction' it clarifies the types. This enhances understanding beyond the schema.

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 provides top stock movers by gainers, losers, or active (volume), with specific session support. It distinctly differentiates from sibling tools like get_market_breadth or get_accumulation_snapshot.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

The description explains when to use each direction and session, and explicitly states that 'active' does not support session windows, and that penny-stock filtering is applied by default. It provides clear context for usage, though it does not explicitly list alternatives or when not to use.

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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