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imbenrabi

Financial Modeling Prep MCP Server

getBiggestLosers

Identify stocks with the largest price declines to analyze market downtrends and track significant financial losses.

Instructions

Access data on the stocks with the largest price drops using the Biggest Stock Losers API. Identify companies experiencing significant declines and track the stocks that are falling the fastest in the market.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool accesses data via an API, but does not disclose behavioral traits such as rate limits, data freshness, format of returned data, or any authentication requirements. The description is vague about what 'significant declines' means operationally.

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, with two sentences that directly state the tool's function. There is no wasted text, though it could be slightly more structured by separating purpose from context. Every sentence contributes to understanding the tool.

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 has 0 parameters and no output schema, the description is moderately complete. It explains what data is accessed but lacks details on data format, update frequency, or limitations. For a data retrieval tool with no annotations, more behavioral context would improve completeness.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description does not mention any parameters, which is appropriate. It adds value by explaining the data accessed (stocks with largest price drops), compensating for the lack of output schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Access data on the stocks with the largest price drops' and 'track the stocks that are falling the fastest in the market.' It specifies the verb ('access data') and resource ('stocks with largest price drops'), but does not explicitly differentiate from its sibling 'getBiggestGainers' beyond the opposite direction of price movement.

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 provides no explicit guidance on when to use this tool versus alternatives. It mentions tracking 'stocks that are falling the fastest,' but does not specify scenarios, prerequisites, or compare it to other market data tools like 'getMostActiveStocks' or 'getStockPriceChange.' Usage is implied rather than clearly defined.

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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