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jackdark425

Financial Modeling Prep (FMP) MCP Server

by jackdark425

get_most_active

Identify stocks with the highest trading volume to analyze market activity and liquidity trends for investment decisions.

Instructions

Get most actively traded stocks by volume

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The tool 'get_most_active' is registered and implemented in src/tools/market.ts. The handler fetches data from the '/most-actives' endpoint of the FMP API.
    server.registerTool(
      'get_most_active',
      {
        description: 'Get most actively traded stocks by volume',
        inputSchema: z.object({}),
      },
      async () => {
        try {
          const data = await fetchFMP<MarketMover[]>('/most-actives');
          return jsonResponse(data);
        } catch (error) {
          return errorResponse(error);
        }
      }
    );
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 what the tool does but lacks behavioral details like data freshness, rate limits, authentication needs, or output format. This leaves significant gaps in understanding how the tool behaves in practice.

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, efficient sentence that directly states the tool's purpose without any wasted words. It's appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'most actively traded' means (e.g., time frame, market scope) or what the return values look like, leaving the agent with insufficient context for effective use.

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 information is needed. The description doesn't add param details, but that's acceptable here. A baseline of 4 is appropriate as the schema fully handles the parameter semantics.

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 verb ('Get') and resource ('most actively traded stocks by volume'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from siblings like 'get_market_gainers' or 'get_market_losers', which might also relate to market activity, so it doesn't reach the highest score.

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 guidance on when to use this tool versus alternatives, such as other market data tools in the sibling list. There's no mention of context, prerequisites, or exclusions, leaving the agent with minimal usage direction.

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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