Financial Modeling Prep MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'real-time movements' and 'historical performance,' implying data retrieval, but does not specify if this is a read-only operation, the data format, update frequency, rate limits, or authentication requirements. The description lacks critical behavioral details needed for an AI agent to use the tool effectively.

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

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

The description is concise with two sentences, but it is somewhat vague and could be more front-loaded with specific functionality. Phrases like 'comprehensive data' and 'prominent stock exchange' are generic and do not add actionable information. While not verbose, it lacks precision that would enhance clarity for tool selection.

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

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

Given the complexity of financial data tools and the lack of annotations and output schema, the description is incomplete. It does not explain what data is returned (e.g., constituent list, prices, historical data), the format, or any limitations. For a tool with no structured behavioral hints, the description should provide more context to ensure proper usage by an AI agent.

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

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

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description does not mention any parameters, which is appropriate since none are required. However, it could hint at optional parameters or filters, but given the schema's completeness, a baseline of 4 is justified as the description does not need to compensate for missing parameter info.

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

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

The description clearly states the tool's purpose: 'Access comprehensive data for the Nasdaq index' and 'Monitor real-time movements and track the historical performance of companies listed on this prominent stock exchange.' It specifies the resource (Nasdaq index data) and actions (access, monitor, track), but does not explicitly differentiate it from sibling tools like 'getDowJonesConstituents' or 'getSP500Constituents' beyond mentioning Nasdaq specifically.

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

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. It mentions monitoring real-time movements and tracking historical performance, but does not specify use cases, prerequisites, or exclusions. For example, it does not clarify if this is for current constituents only or includes historical changes, or how it differs from other index-related tools in the sibling list.

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