Skip to main content
Glama

get_offense_estimates

Get NIBRS offense-level estimates (person or property crimes).

Returns offense-level data (as opposed to incident-level). An incident
may involve multiple offenses, so offense counts are typically higher
than incident counts.

Args:
    crime_category: 'person' for violent crimes or 'property' for
        property crimes. Default: 'person'.
    indicator: Filter by offense type.
    domain: Filter by analysis domain.
    limit: Maximum results to return (default 50, max 1000).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
domainNo
indicatorNo
crime_categoryNoperson

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It discloses that offense counts are typically higher than incident counts and mentions the limit, but lacks details on auth, rate limits, or side effects. The description is adequate but not exhaustive.

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 concise with a clear one-sentence purpose followed by parameter details. Every sentence adds value, and it is front-loaded with the core functionality.

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 the tool has an output schema and four parameters, the description covers the key aspects: purpose, parameter meanings, and the offense vs. incident distinction. It lacks edge cases or examples but is complete enough for typical use.

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

Parameters5/5

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

Schema coverage is 0%, but the description fully compensates by explaining all four parameters: crime_category (with values 'person'/'property' and default), indicator, domain, and limit (with default and max). This adds essential meaning beyond the bare 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 the tool returns NIBRS offense-level estimates for person or property crimes, contrasting with incident-level data, which distinguishes it from sibling tools like get_property_incident_estimates.

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

Usage Guidelines4/5

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

It explains that offense-level data differs from incident-level and provides defaults, but does not explicitly specify when to use this tool over alternatives, leaving some implicit guidance.

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.

TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct level of crime data: offense estimates, property incidents, violent incidents, and victimization. No overlap in purpose.

Naming Consistency5/5

All tools follow a consistent 'get_' prefix with descriptive snake_case noun phrases, e.g., get_offense_estimates, get_violent_incident_estimates.

Tool Count5/5

With 4 tools, the server covers the main facets of NIBRS data without being too sparse or overwhelming.

Completeness5/5

The tool set covers offense-level, incident-level (property and violent), and victim-level data, providing a comprehensive surface for NIBRS crime queries.

Resources