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 transcripts via an API but doesn't mention rate limits, authentication requirements, error handling, or response format. For a tool with no annotations, this leaves significant gaps in understanding its operational behavior and constraints.

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 front-loaded, with the first sentence stating the core purpose. The second sentence adds context about staying informed, which is somewhat redundant but not wasteful. Overall, it's efficiently structured with minimal fluff, though it could be slightly more direct.

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 complexity (fetching financial transcripts) and lack of annotations and output schema, the description is incomplete. It doesn't explain what the return value looks like (e.g., transcript text, metadata), error conditions, or API-specific behaviors. For a tool with no structured output documentation, this leaves the agent with insufficient context to use it effectively.

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, clearly documenting all parameters (symbol, year, quarter, limit). The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints. With high schema coverage, 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: 'Access the full transcript of a company’s earnings call with the FMP Earnings Transcript API.' It specifies the verb ('access'), resource ('full transcript of a company’s earnings call'), and API source. However, it doesn't explicitly differentiate from sibling tools like getEarningsTranscriptList or getLatestEarningsTranscripts, which appear to serve related but distinct purposes.

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 explicit guidance on when to use this tool versus alternatives. It mentions analyzing management's communication for financial insights, but doesn't specify prerequisites, exclusions, or compare it to sibling tools (e.g., getEarningsTranscriptList for listing available transcripts or getLatestEarningsTranscripts for recent ones). Usage is implied rather than clearly defined.

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