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imbenrabi

Financial Modeling Prep MCP Server

getHistoricalIndustryPE

Read-onlyIdempotent

Retrieve historical price-to-earnings (P/E) ratios for any industry. Track valuation trends over time by specifying industry, date range, and exchange.

Instructions

Access historical price-to-earnings (P/E) ratios by industry using the Historical Industry P/E API. Track valuation trends across various industries to understand how market sentiment and valuations have evolved over time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
industryYesIndustry (e.g., Biotechnology)
from_dateNoStart date (YYYY-MM-DD)
toNoEnd date (YYYY-MM-DD)
exchangeNoExchange (e.g., NASDAQ)
Behavior3/5

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

Annotations already declare readOnly, idempotent, and openWorld hints. The description adds 'historical' context but doesn't elaborate on data frequency, date range limits, or response structure. It aligns with annotations but adds minimal behavioral disclosure.

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

Conciseness5/5

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

Two sentences with no redundancy. The first sentence immediately states the core purpose, and the second adds value context. Efficient and well-structured.

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?

No output schema exists, and the description omits return format, pagination behavior, or date range handling. For historical data, agents may need more context to use the tool correctly.

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?

Input schema has 100% description coverage, so parameters are already documented. The description restates the concept of industry but provides no additional meaning, format examples, or constraints beyond schema.

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

Purpose5/5

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

The description clearly states it accesses historical P/E ratios by industry and mentions tracking valuation trends. It distinguishes from sibling tools like getHistoricalSectorPE and getIndustryPESnapshot by specifying 'historical' and 'industry'.

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 no guidance on when to use this tool versus alternatives. It doesn't mention scenarios, prerequisites, or when not to use it, leaving the agent without decision-making context.

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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