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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getMostActiveStocks

Read-onlyIdempotent

Fetch stocks with high trading volume to identify companies experiencing elevated market activity and track where trading is concentrated.

Instructions

View the most actively traded stocks using the Top Traded Stocks API. Identify the companies experiencing the highest trading volumes in the market and track where the most trading activity is happening.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "getMostActiveStocks"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.9.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv1.0.0
    • removedInput schema / additionalProperties
      Removed value: -false
  3. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety and idempotency profile is covered. The description adds only the framing that results represent live market-wide trading volume, with no mention of how many symbols are returned, the observation window (intraday vs. daily), or refresh cadence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact sentences with the purpose front-loaded, which is good, but the second sentence largely restates the first ('highest trading volumes' vs. 'where the most trading activity is happening') without adding new information.

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?

With no parameters and no output schema, the description carries the burden of explaining the result shape, yet it never says how many stocks come back or what data accompanies them. The most consequential gap is the unresolved overlap with the sibling getActivelyTradingList, which the definition never addresses.

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 tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The declared 100% schema coverage is trivially true for an empty object.

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?

Names a specific verb and resource: viewing the most actively traded stocks, and clarifies the ranking criterion is trading volume. It does not distinguish itself from the near-identical sibling getActivelyTradingList, nor from getBiggestGainers, so an agent cannot route definitively between them from the description alone.

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?

There is no when-to-use guidance, no exclusions, and no named alternative. The phrase about identifying high-volume companies hints at the intent but leaves the agent to infer when this beats getActivelyTradingList or the gainers/losers tools.

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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