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analytics-tool

Analyze space utilization, traffic flow, peak hours, and scene activity across cameras to answer business questions.

Instructions

This tool generates composite operational analytics reports by combining multiple data sources. Use it for high-level business questions about space utilization, traffic patterns, and real-time scene analysis.

It has the following modes of operation, determined by the "requestType" parameter:

  • space-utilization: Compare per-camera people counts against running averages at a location. Answers: "How busy is each area vs normal?"

  • traffic-flow: Compare ingress/egress across ALL line-crossing cameras at a location. Answers: "Which entrance gets the most traffic?"

  • peak-vs-average: Show hourly actual counts vs historical averages. Answers: "When is it busiest? Is today above or below normal?"

  • scene-intelligence: Ask a camera an arbitrary question using AI vision (e.g. "How many treadmills are in use?"). Works in real-time or at a historical timestamp.

  • location-summary: Generate a comprehensive multi-metric analytics summary for a location including people counts, traffic flow, and trend comparisons.

Output filtering (all tools):

  • includeFields (string[]): Dot-notation paths to keep in the response (e.g. "vehicleEvents.vehicleLicensePlate"). Omit to return all fields.

  • filterBy (array): Predicates to filter array items. Each entry: {field, op, value} where op is one of = != > >= < <= contains. All conditions are ANDed. Example: [{field:"vehicleLicensePlate", op:"=", value:"ABC123"}] WARNING: some tool responses exceed 400k characters — use these params to request only the data you need.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestTypeYesThe type of analytics report to generate.
spaceUtilizationRequestYesRequest for space utilization report. Compares per-camera people counts against running averages. Required for 'space-utilization'.
trafficFlowRequestYesRequest for multi-camera traffic flow report. Compares ingress/egress across all line-crossing cameras at a location. Required for 'traffic-flow'.
peakVsAverageRequestYesRequest for peak-vs-average analysis. Shows hourly actual counts vs historical running averages. Required for 'peak-vs-average'.
sceneIntelligenceRequestYesRequest for real-time scene intelligence. Asks a camera an arbitrary question using AI. Required for 'scene-intelligence'.
locationSummaryRequestYesRequest for a comprehensive location analytics summary covering people counts, traffic flow, occupancy, and comparison to averages. Required for 'location-summary'.
includeFieldsYesDot-notation field paths to include in the response (e.g. "vehicleEvents.vehicleLicensePlate"). Pass null to return all fields. WARNING: some responses can exceed 400k characters — use includeFields to request only the data you need. For high-volume tools this may be required to get a complete answer.
filterByYesFilter array items in the response by field values. All conditions are ANDed. Example: [{field: "vehicleLicensePlate", op: "=", value: "ABC123"}, {field: "confidence", op: ">", value: 0.8}] Use alongside includeFields to get only the specific records and fields you need.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
spaceUtilizationNoSpace utilization report with per-camera counts vs running averages.
trafficFlowNoMulti-camera traffic flow comparison with ingress/egress ranking.
peakVsAverageNoHour-by-hour actual vs. average analysis with peak/quiet hour identification.
sceneIntelligenceNoReal-time AI answer from a camera about what it currently sees.
locationSummaryNoComprehensive multi-metric location analytics summary.
errorNoAn error message if the request failed.
Behavior4/5

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

With no annotations, the description carries the full burden. It details the five modes, explains output filtering (includeFields, filterBy), and warns about large responses exceeding 400k characters. However, it does not explicitly state whether the tool is read-only or has side effects.

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 well-structured with bullet points for modes and a separate section for output filtering. It is front-loaded with the purpose. Every sentence serves a purpose, though it is slightly verbose.

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 tool's complexity (8 parameters, no annotations, output schema present), the description covers all necessary aspects: five modes, request objects, output filtering with examples, and a warning about large responses. It is comprehensive enough for an AI agent to understand how and when to invoke the tool.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds significant value by explaining what each mode answers in plain language (e.g., 'How busy is each area vs normal?'), which goes beyond the schema's formal parameter descriptions.

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 explicitly states it generates composite operational analytics reports by combining multiple data sources, and lists five specific modes of operation with clear answers to business questions. This distinguishes it from simpler data retrieval tools like count-tool or events-tool.

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 recommends using the tool for high-level business questions, but does not explicitly state when not to use it or suggest alternative tools. It provides context for usage but lacks exclusion criteria.

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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