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' updates and 'trusted publishers', but fails to disclose critical traits such as rate limits, authentication requirements, pagination behavior (implied by 'page' and 'limit' parameters but not explained), error handling, or data format. For a tool with no annotations, this leaves significant gaps in understanding its operational 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 three sentences long and front-loaded with the core purpose, but includes marketing-like phrases (e.g., 'Stay informed', 'Track stock price movements') that don't add technical value. While not overly verbose, it could be more streamlined by focusing on functional details rather than promotional language, making it moderately efficient but with room for improvement.

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 fetching real-time financial news data, no annotations, and no output schema, the description is incomplete. It lacks details on response structure (e.g., what fields are returned), error conditions, rate limits, and how it differs from sibling tools. The description provides a high-level overview but fails to equip an agent with sufficient context for reliable tool invocation in a production environment.

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 100% description coverage, with clear documentation for 'page' and 'limit' parameters including defaults and max values. The description adds no additional parameter semantics beyond what the schema provides, such as explaining how pagination affects results or typical usage patterns. Since schema coverage is high, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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: to provide the latest analyst rating changes for all stock symbols with news source links. It uses specific verbs like 'stay informed' and 'provides' and identifies the resource as 'stock rating changes' from the FMP Grade Latest News API. However, it doesn't explicitly distinguish itself from sibling tools like 'getStockGradeNews' or 'getHistoricalStockGrades', which might offer similar or overlapping functionality.

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 mentions tracking 'real-time' updates and includes general context about market sentiment, but it provides no explicit guidance on when to use this tool versus alternatives. It doesn't specify prerequisites, limitations (e.g., data freshness), or compare it to siblings like 'getStockGradeNews' or 'getStockGrades', leaving the agent to infer usage from the name alone.

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