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List BunnyShell Environment Events

list-bunnyshell-environment-events
Read-onlyIdempotent

Troubleshooting: list BunnyShell platform events for an environment.

Input Schema

NameRequiredDescriptionDefault
pageNo
botIdNoQA bots: your botId from your stored TestChimp binding.
eventTypeNo
eventStatusNo
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.
bnsEnvironmentIdYes

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

C2.9/5.0
Behavior2/5

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 only the 'troubleshooting' framing and says nothing about pagination behavior, filtering, or what event data is returned, so it contributes very little beyond the structured fields.

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?

A single compact sentence with the use-case tag front-loaded and no wasted words. It is well structured, though the extreme brevity is also the source of its other gaps.

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

Completeness2/5

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

For a six-parameter, filterable event-listing tool with no output schema, the description omits filtering semantics and return behavior entirely. Given the complexity and the partial schema coverage, this is not enough for an agent to invoke it confidently.

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

Parameters2/5

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

Six parameters with only 33% schema description coverage, yet the description mentions no filters at all. It does not explain the purpose of eventType, eventStatus, or page, which is exactly where the coverage gap lies and where the description should compensate.

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 ('list') and resource ('BunnyShell platform events for an environment'), which is clearly distinguishable from neighboring tools like list-bunnyshell-workflow-jobs. It does not explicitly name any sibling, 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 Guidelines3/5

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

The leading 'Troubleshooting:' tag implies the use case (diagnosing environment issues), which is a real contextual cue. However, it names no alternative tool (e.g. get-bunnyshell-workflow-job-logs for job-level logs) and gives no when-not conditions, leaving the agent to infer selection.

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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