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lzinga

US Government Open Data MCP

fbi_law_enforcement_employees

Read-only

Retrieve law enforcement employee data including sworn officers and civilian staff at national, state, or agency level. Shows staffing levels over time.

Instructions

Get law enforcement employee data (sworn officers, civilian employees) at national, state, or agency level. Shows staffing levels over time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter state abbreviation for state-level data
oriNoAgency ORI code (requires state param too)
from_yearNoStart year (default: 5 years ago)
to_yearNoEnd year (default: current year)
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description's addition of 'Shows staffing levels over time' provides useful behavioral context. However, it does not describe return format or pagination, but the annotation covers safety.

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, front-loaded with the main action and key details, with no unnecessary words. Every sentence earns its place.

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 (state, ori, years), the description is mostly complete. It could mention that ORI requires state, but the schema already notes that. For a straightforward filtered-list tool, this is 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 all four parameters described in the schema itself. The description adds no extra meaning beyond what the schema already provides, so baseline 3 is appropriate.

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 tool retrieves law enforcement employee data (sworn officers, civilian employees) at national, state, or agency level, with a time series component. It distinguishes itself from sibling FBI tools like fbi_arrest_data or fbi_crime_summarized by focusing on staffing levels.

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 employee data but does not explicitly mention when to use this tool versus alternatives like fbi_arrest_data or fbi_nibrs. No when-not-to-use or alternative guidance is provided.

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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