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 provides 'essential data' and 'real-time' access, but lacks details on rate limits, authentication needs, data freshness, pagination, or error handling. The mention of 'real-time' is vague and does not specify if this is live data or cached, leaving significant gaps in understanding the tool's behavior.

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 sentence clearly states the purpose with examples, and the second adds context about the API and use case. There is no wasted text, and it is front-loaded with the core functionality. A minor point is that the second sentence could be slightly more specific, but overall it is efficient.

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 has 0 parameters, no annotations, and no output schema, the description provides basic purpose and context but is incomplete. It lacks details on output format (e.g., structure of the list, fields included), behavioral traits like rate limits, and how it integrates with sibling tools. For a simple list tool, this is minimally adequate but leaves gaps that could hinder effective use 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, so no parameter documentation is needed. The description does not add parameter details, which is appropriate. However, it could have mentioned if there are implicit parameters (e.g., filtering options), but since none are required, a score of 4 reflects that the description adequately handles the lack of parameters without unnecessary elaboration.

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 an extensive list of tracked commodities across various sectors, including energy, metals, and agricultural products.' It specifies the verb ('access') and resource ('list of tracked commodities'), and provides examples of sectors. However, it does not explicitly differentiate this tool from sibling tools like 'getCommodityQuotes' or 'getCOTList', which might also involve commodities data.

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 'giving investors the ability to explore market options in real-time,' but this is vague and does not specify scenarios, prerequisites, or exclusions. For example, it does not clarify if this is for initial discovery vs. detailed quotes, or how it relates to siblings like 'getCommodityQuotes'.

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