Skip to main content
Glama

FBI UCR — National Crime Statistics

fbi.crime.national_offenses
Read-onlyIdempotent

Retrieve monthly national Uniform Crime Reporting (UCR) crime statistics from the FBI Crime Data Explorer. Returns raw offense counts, rates per 100,000 population, and clearance counts by month for the requested offense type and date range. Offense types include violent-crime, property-crime, homicide, rape, robbery, aggravated-assault, burglary, larceny, motor-vehicle-theft, and arson. Data covers the full US participating law-enforcement agencies (95%+ population coverage). Source: FBI UCR / CDE, US Gov public domain, api.data.gov, no auth required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_monthNoEnd month in MM-YYYY format (e.g. 12-2022). Defaults to last full year.
from_monthNoStart month in MM-YYYY format (e.g. 01-2019). Data available from 01-1979.
offense_typeYesFBI UCR offense category. violent-crime (murder+rape+robbery+assault), property-crime (burglary+larceny+auto+arson), or individual offense type

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds valuable context beyond those: 'no auth required', '95%+ population coverage' (clarifying potential data gaps), and the public-domain US Gov source. It also specifies the return content (raw counts, rates, clearance counts), complementing the read-only profile without contradiction.

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 four sentences and front-loaded with the primary action and resource. It packs useful facts (granularity, return metrics, coverage, source, auth) without fluff. The offense-type enumeration is partially redundant with the schema but serves as a quick reference, earning its place.

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

Completeness5/5

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

Given the annotations covering safety and an output schema handling return values, the description supplies all essential calling context: monthly granularity, date-range behavior implied, offense-type selection, data coverage caveat, source provenance, and authentication requirement. Nothing an agent needs to invoke this tool correctly is missing.

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%: from_month documents the available start date (01-1979), to_month documents the default, and offense_type explains composite categories. The description's offense-type list and month format details are redundant with the schema, adding no significant new meaning beyond what the structured fields already provide.

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 opens with a specific verb and resource: 'Retrieve monthly national Uniform Crime Reporting (UCR) crime statistics from the FBI Crime Data Explorer.' It distinguishes itself from sibling tools by explicitly stating 'monthly' and 'national', which separates it from fbi.crime.national_annual and fbi.crime.state_annual, and 'national' separates it from fbi.crime.state_offenses.

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 its usage for monthly national crime data by stating the granularity and coverage, but it does not explicitly state when to use this tool over alternatives or mention the sibling annual/state tools. There are no exclusions or when-not-to-use guidance, only the data coverage note about participating agencies.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.