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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getNasdaqConstituents

Read-onlyIdempotent

Retrieve Nasdaq index constituent data to monitor index movements and track historical performance of listed companies.

Instructions

Access comprehensive data for the Nasdaq index with the Nasdaq Index API. Monitor real-time movements and track the historical performance of companies listed on this prominent stock exchange.

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

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. Beyond that the description adds only promotional language -- nothing about what the response contains (a symbol list? company names?), whether it is a single snapshot or time-series, or any rate/refresh characteristics.

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 short sentences with no padding, but almost all of the wording is vendor marketing rather than operational information. Nothing is front-loaded about what the tool actually returns, so the brevity is not buying clarity.

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?

With no output schema and no parameters, the description is the only place the return value could be characterized, and it does not say that the result is the set of Nasdaq constituents. For a zero-arg, zero-output-schema tool, an agent is left guessing what it will receive and how to use it against the index siblings.

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, so there are no parameter semantics to explain and the baseline is 4. The description correctly implies no filtering inputs are needed, though it does not say the whole index is returned in one call.

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

Purpose2/5

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

The description never states the actual operation: returning the list of companies that make up the Nasdaq index. Instead it offers marketing copy ("Access comprehensive data for the Nasdaq index... Monitor real-time movements"), which reads like a quote/market-data tool and does not distinguish it from siblings such as getSP500Constituents, getDowJonesConstituents, getHistoricalNasdaqChanges, or getIndexList.

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 explicit when-to-use or when-not-to-use guidance and no named alternative for the other index constituent tools or the historical-changes tool. The phrase "monitor real-time movements" implies a real-time quote use case the tool does not appear to serve, leaving the agent to infer selection from the name alone.

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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