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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getIndexShortQuote

Read-onlyIdempotent

Retrieve concise stock index quotes to get a quick snapshot of current price, change, and volume for a specified index symbol.

Instructions

Access concise stock index quotes with the Stock Index Short Quote API. This API provides a snapshot of the current price, change, and volume for stock indexes, making it ideal for users who need a quick overview of market movements.

Input Schema

NameRequiredDescriptionDefault
symbolYesIndex symbol (e.g., ^GSPC for S&P 500)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields 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"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety and idempotency profile is covered. The description adds that the payload is a lightweight snapshot of price/change/volume, which is useful context, but it says nothing about rate limits, staleness, or data latency that would matter for a live quote endpoint.

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?

Two sentences, front-loaded with the core purpose. The second half ('making it ideal for users who need a quick overview of market movements') is mild marketing filler that could be replaced with a sibling comparison, but overall it is tight.

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

Completeness4/5

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

For a one-parameter read-only tool with no output schema, the description adequately signals the shape of the response by naming price, change, and volume. The main missing piece is disambiguation from the other index quote tools, which is the one gap keeping it below full completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With a single required parameter and 100% schema description coverage, including the concrete example '^GSPC for S&P 500', the schema fully carries the parameter burden. The description adds no format or validation detail beyond it, which is the baseline case.

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 names a specific verb and resource ('concise stock index quotes') and enumerates the returned fields (price, change, volume), so the agent knows it is a lightweight snapshot. It does not, however, distinguish this from the sibling getIndexQuote, which by naming convention is the fuller quote, leaving the boundary to be inferred.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'ideal for users who need a quick overview of market movements' implies usage but never states when to prefer this over getIndexQuote or getAllIndexQuotes. There are no explicit exclusions or prerequisite conditions, so the routing decision is left to inference.

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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