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Glama

chronicle_stats

Read-only

Analyze AI runtime activity over a specified period to uncover usage patterns, including event-type breakdowns, daily heatmaps, busiest days, and top categories.

Instructions

Activity stats for your AI runtime - breakdown by event type, daily activity heatmap, busiest days, and most active categories. Use to understand how heavily you're using the runtime.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days back to analyze (default 30, max 90)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysYes
byTypeYes
avgPerDayNo
activeDaysNo
busiestDaysNo
totalEventsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.7.2

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish readOnlyHint and openWorldHint, and the description supplements that by disclosing the aggregated output shape: breakdown by event type, heatmap, busiest days, and top categories. It does not contradict the annotations and gives a clear picture of what the tool returns.

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 tight sentences with no filler: the first enumerates the output dimensions and the second gives the intended use case. Every sentence earns 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?

For a one-parameter read-only statistics tool that has an output schema and clear annotations, the description fully covers what an agent needs to select and invoke it appropriately.

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% because the single 'days' parameter is already documented with its default of 30 and maximum of 90. The description adds no additional parameter semantics, so the baseline of 3 applies.

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 identifies the tool as producing activity stats for the AI runtime and enumerates the concrete output dimensions: event type breakdown, daily activity heatmap, busiest days, and most active categories. This distinguishes it from the related chronicle_list, chronicle_search, and chronicle_add siblings.

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?

The description explicitly states when to use the tool: 'Use to understand how heavily you're using the runtime.' It provides clear context but does not name alternatives or state when not to use it.

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