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 states the tool accesses and tracks data, implying a read-only operation, but does not specify details like data freshness, rate limits, authentication requirements, or error handling. For a tool with zero annotation coverage, this leaves critical behavioral traits unclear.

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 and well-structured in two sentences: the first introduces the tool's function and API, and the second elaborates on what it tracks. There is no wasted language, and key information is front-loaded, though it could be slightly more direct by omitting minor phrasing like 'using the S&P 500 Index API' if redundant.

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 tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate but not fully complete. It explains what the tool does but lacks details on output format, data scope (e.g., real-time vs. historical), and integration context. For a data-access tool with many siblings, more contextual guidance would improve completeness.

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, so no parameter documentation is needed. The description appropriately does not discuss parameters, focusing instead on the tool's purpose. Since there are no parameters to explain, this meets the baseline for high schema coverage without redundancy.

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 detailed data on the S&P 500 index' and 'Track the performance and key information of the companies that make up this major stock market index.' It specifies the verb ('access', 'track') and resource ('S&P 500 index', 'companies'), but does not explicitly differentiate it from sibling tools like 'getDowJonesConstituents' or 'getNasdaqConstituents', which serve similar purposes for other indices.

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 using the 'S&P 500 Index API' but does not specify contexts, prerequisites, or exclusions. With many sibling tools available (e.g., 'getAllIndexQuotes', 'getIndexQuote'), the lack of comparative usage advice is a significant gap.

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