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imbenrabi

Financial Modeling Prep MCP Server

getIncomeStatementsBulk

Read-onlyIdempotent

Retrieve detailed income statement data in bulk for a specified year and period. Analyze revenue, gross profit, expenses, and net income across multiple companies for large-scale financial analysis.

Instructions

The Bulk Income Statement API allows users to retrieve detailed income statement data in bulk. This API is designed for large-scale data analysis, providing comprehensive insights into a company's financial performance, including revenue, gross profit, expenses, and net income.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesYear (e.g., 2023)
periodYesPeriod (Q1, Q2, Q3, Q4, FY)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true, so the description does not need to repeat safety information. However, it fails to clarify the scope of the bulk operation (e.g., all companies vs. requiring a symbol), which is critical for correct usage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences and front-loads the key information. The second sentence includes generic phrasing ('comprehensive insights...') that is not essential, but overall it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description lists output fields but omits critical context such as whether the bulk operation returns data for all companies or requires a ticker symbol. With no output schema, this missing detail reduces completeness for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description lists output fields (revenue, gross profit, etc.) but does not add any semantic information about the parameters year and period beyond their schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses 'retrieve detailed income statement data in bulk' which clearly states the verb and resource. It distinguishes from individual income statement tools by specifying 'bulk', but does not explicitly differentiate from other bulk financial statement tools like getBalanceSheetStatementsBulk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides 'designed for large-scale data analysis' as vague context, but offers no explicit guidance on when to use this tool versus alternatives (e.g., single-entity or other bulk tools). No when-not-to-use or alternative tools are mentioned.

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

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