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Get TrueCoverage Event Details

get-truecoverage-event-details
Read-onlyIdempotent

TrueCoverage drill-down for one event (GetEventDetailsRequest). Requires eventTitle plus baseExecutionScope (environment + timeWindow). Optional comparisonExecutionScope for coverage columns (automationEmitsOnly on comparison). Same timeWindow / platform rules as get-truecoverage-events.

Input Schema

NameRequiredDescriptionDefault
botIdNoQA bots: your botId from your stored TestChimp binding.
eventTitleYes
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
comparisonExecutionScopeNo

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

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds structural requirements (required eventTitle + baseExecutionScope) and clarifies that comparisonExecutionScope drives coverage columns, which is useful context, but it discloses little else about behavior or return shape.

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?

Front-loaded with the purpose, followed by required and optional structural requirements in two dense sentences. Each clause carries information with no filler, though it reads more like spec shorthand than prose.

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-object tool with no output schema and 40% parameter coverage, the description is only partially complete. It covers the core base/comparison scope distinction but does not explain the return payload or the untouched credential/filter parameters, leaving real gaps.

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?

With only 40% schema coverage the description must compensate, and it partly does: it confirms eventTitle and baseExecutionScope (environment + timeWindow) as required and explains the optional comparisonExecutionScope role. However botId, projectApiKey, metadataFilters, release, branchName and platform are left solely to the schema.

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 resource (one event) and action (TrueCoverage drill-down), distinguishing it from the plural get-truecoverage-events by scoping to a single event. The verb 'drill-down' is a bit informal but the intent is clear. It does not name the sibling it complements, leaving some inference to the agent.

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?

Usage is only implied: the agent must infer that this is the per-event detail view invoked after a list call. There is no explicit when-to-use or when-not-to-use guidance, no prerequisites, and no routing against siblings like get-truecoverage-events or get-truecoverage-event-time-series.

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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