Skip to main content
Glama
imbenrabi

Financial Modeling Prep MCP Server

getHistoricalEmployeeCount

Read-onlyIdempotent

Retrieve historical employee count data for any company by stock symbol to analyze workforce growth trends and operational changes over time.

Instructions

Access historical employee count data for a company based on specific reporting periods. The FMP Company Historical Employee Count API provides insights into how a company’s workforce has evolved over time, allowing users to analyze growth trends and operational changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol
limitNoLimit on number of results (default: 100, max: 10000)
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description aligns by stating 'Access historical employee count data', but adds minimal behavioral context beyond that, such as the mention of 'specific reporting periods'. It does not disclose details like rate limits or response format.

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?

The description is two sentences: first sentence defines purpose, second adds value proposition. No redundant or extraneous information. Every sentence is purposeful and efficiently communicates key information.

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

Completeness4/5

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

Given no output schema and simple parameters with full coverage, the description adequately conveys what the tool does and why it is useful. It could briefly mention the return format (e.g., list of records) but is otherwise sufficient.

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%, with both parameters ('symbol' and 'limit') already described in the schema. The description does not add any additional meaning or context beyond what the schema provides.

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 the verb 'Access' and the resource 'historical employee count data', and specifies it is for a company based on reporting periods. The name itself includes 'Historical', distinguishing it from the sibling 'getEmployeeCount' which likely provides current data.

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

Usage Guidelines3/5

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

The description implies usage for analyzing growth trends and operational changes over time, but does not explicitly mention when to use this vs. 'getEmployeeCount' or other alternatives. No exclusion or conditionals are provided.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/imbenrabi/Financial-Modeling-Prep-MCP-Server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server