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bartest5

Alpaca MCP Server

by bartest5

get_market_movers

Identify the top gaining and losing stocks or crypto using real-time SIP data to spot market trends.

Instructions

Returns the top market movers (gainers and losers) based on real-time SIP data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoNumber of top market movers to fetch (gainers and losers). Will return this number of results for each. By default, 10 gainers and 10 losers.
market_typeYesMarket type (stocks or crypto).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that results are based on real-time SIP data and that both gainers and losers are returned, which is useful behavioral context. However, it does not specify the calculation period, sorting, or any potential rate limits, leaving some transparency gaps.

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 sentence that is front-loaded and free of unnecessary words. It conveys the purpose and data source economically, every word earns its place.

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?

The tool is simple and provides an output schema, so the description doesn't need to explain return structure. It covers the essential purpose and data source. The description is complete enough for this level of complexity, though additional caveats (e.g., market hours) could be added.

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 the input schema already fully explains both parameters (market_type and top). The tool description adds no parameter-specific information beyond what the schema provides, so the baseline of 3 is appropriate.

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's function: returning top market movers (gainers and losers) using real-time SIP data. It is specific about the resource and differentiates from sibling tools like get_most_active_stocks by focusing on movers rather than activity.

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?

The description does not provide explicit guidance on when to use this tool versus alternatives. It only states what the tool returns, leaving the agent to infer usage context. No exclusions or sibling comparisons are mentioned.

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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