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Get TrueCoverage Event Time Series

get-truecoverage-event-time-series
Read-onlyIdempotent

TrueCoverage daily time series for one metric (EventTimeSeriesRequest). Requires baseExecutionScope (environment + timeWindow). Optional eventTitle and metricType: SESSION_COUNT | RELATIVE_FREQUENCY | PERCENTAGE_TERMINAL_EVENT | SESSION_POSITION | TIME_TO_NEXT_EVENT | REVERSE_INDEX | TIME_FROM_START | TIME_TO_END | TIME_SINCE_PREVIOUS_EVENT.

Input Schema

NameRequiredDescriptionDefault
botIdNoQA bots: your botId from your stored TestChimp binding.
eventTitleNo
metricTypeNo
projectApiKeyNoQA bots: your own project API key from your stored TestChimp binding. Required on every call except get-bot-credentials, get-project-credentials and get-bot-compat. Never print it.
baseExecutionScopeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / botId
      Added value: +{
      +  "description": "QA bots: your botId from your stored TestChimp binding.",
      +  "maxLength": 64,
      +  "minLength": 1,
      +  "type": "string"
      +}
    • addedInput schema / properties / projectApiKey
      Added value: +{
      +  "description": "QA bots: your own project API key from your stored TestChimp binding. Required on every call except get-bot-credentials, get-project-credentials and get-bot-compat. Never print it.",
      +  "maxLength": 256,
      +  "minLength": 8,
      +  "type": "string"
      +}
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds that output is daily granularity per single metric, which is genuine behavioral value, but says nothing about return shape, limits, or how timeWindow affects granularity.

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?

Two sentences with the purpose front-loaded and no filler preamble. The trailing enumeration of nine metricType values is long and duplicates the schema enum, which costs it a point, but the core is tight.

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

Completeness3/5

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

For a nested-schema tool with no output schema, the description conveys the essential concept (daily per-metric series scoped by environment/timeWindow) but omits meaningful surface area: which fields the baseExecutionScope supports beyond environment/timeWindow, and what the returned series looks like. Adequate but incomplete given the 5-parameter nested schema.

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 only 40%, so the description should compensate more than it does. It clarifies that baseExecutionScope (environment + timeWindow) is required and lists the metricType enum values, but the enum listing merely duplicates the schema, and it leaves botId, projectApiKey, metadataFilters, platform, and release unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource: 'TrueCoverage daily time series for one metric (EventTimeSeriesRequest).' An agent can distinguish this from get-truecoverage-events or get-truecoverage-event-details by the 'time series' framing. It does not, however, name a sibling or state the boundary explicitly, so it falls short of a 5.

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

Usage Guidelines2/5

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

The description states what is required to call it ('Requires baseExecutionScope (environment + timeWindow)') but gives no when-to-use guidance, no conditions under which to pick this over the sibling coverage tools, and no exclusions. Requirements are a precondition, not usage guidance.

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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