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 a 'comprehensive view' and 'bulk data', but lacks details on rate limits, data freshness, pagination, or error handling. This is insufficient for a tool that likely returns large datasets, leaving the agent with significant gaps in understanding its 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 two sentences that efficiently convey the tool's purpose and value proposition without redundancy. It is front-loaded with the main function and avoids unnecessary details, making it easy to parse, though it could be slightly more structured for clarity.

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 no parameters and no output schema, the description adequately covers the basic purpose but lacks critical behavioral details like data format, size limits, or performance characteristics. For a bulk data retrieval tool, this leaves the agent under-informed about practical usage, despite the simplicity of the input schema.

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 mention any parameters, which is appropriate and adds no unnecessary information, aligning with the schema's completeness.

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: retrieving bulk data for analyst upgrades, downgrades, and consensus recommendations across all symbols. It specifies the verb ('retrieve') and resource ('bulk data'), but does not explicitly differentiate it from sibling tools like 'getAnalystEstimates' or 'getHistoricalRatings', which might offer related but different 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 gaining 'insights into the market's outlook' but does not specify use cases, prerequisites, or compare it to sibling tools such as 'getPriceTargetConsensus' or 'getStockRatingsBulk', leaving the agent without clear usage context.

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