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.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It only restates the tool's purpose without noting output format, sorting order, time frame, data granularity, or whether the data is real-time. Phrases like 'identify companies' and 'track stocks' add no concrete behavioral detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short but redundant. 'Largest price drops,' 'significant declines,' and 'falling fastest' all convey the same idea across two sentences. The second sentence adds little beyond the first, making it less concise than it could be.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (no params, no output schema), the description still fails to specify what data is actually returned (e.g., list of tickers, percentage drops, prices). It says 'access data' but does not describe the response structure, leaving significant ambiguity for an agent that needs to interpret the tool's output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema is empty. The baseline for 0-param tools is 4; the description does not need to explain parameter semantics since none exist. The description adds no parameter information but also does not need to.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool's purpose: accessing data on stocks with the largest price drops. It uses a specific verb ('Access data') and a specific resource ('stocks with the largest price drops'), and it implicitly distinguishes itself from sibling tools like getBiggestGainers by focusing on declines rather than gains.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states the clear context for use: when you need information on the biggest stock market losers. It does not explicitly mention alternatives or exclusions, but the purpose is unambiguous enough that an agent can infer when to invoke this tool versus its gainer counterpart.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.