Skip to main content
Glama
imbenrabi

Financial Modeling Prep MCP Server

getStockRatingsBulk

Retrieve comprehensive financial ratings and recommendations for multiple stocks in a single API request, enabling efficient analysis of company performance.

Instructions

The FMP Rating Bulk API provides users with comprehensive rating data for multiple stocks in a single request. Retrieve key financial ratings and recommendations such as overall ratings, DCF recommendations, and more for multiple companies at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions retrieving data but doesn't disclose behavioral traits like rate limits, authentication needs, response format, pagination, or error handling. The description adds minimal context beyond the basic operation.

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?

The description is efficiently structured in two sentences: the first states the tool's purpose and scope, the second provides examples of what data is retrieved. It's front-loaded with key information and avoids unnecessary details.

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?

For a tool with no parameters and no output schema, the description covers the basic purpose and data scope adequately. However, it lacks details on behavioral aspects (e.g., response format, limitations) that would be helpful given the absence of annotations and output schema.

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 documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the tool's purpose and scope. This meets the baseline for tools with no parameters.

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 tool's purpose: retrieving comprehensive rating data for multiple stocks in a single request, with specific examples like overall ratings and DCF recommendations. It distinguishes from single-stock rating tools by emphasizing bulk retrieval, though it doesn't explicitly name sibling alternatives.

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 description implies usage when needing rating data for multiple companies at once, but doesn't provide explicit guidance on when to use this versus single-stock rating tools or other bulk data tools. No alternatives, prerequisites, or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/imbenrabi/Financial-Modeling-Prep-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server