TestChimp

List RUM Environments

list-rum-environments

Read-onlyIdempotent

List distinct RUM environment tags for this project. Call this first to choose environment values for TrueCoverage ExecutionScope.environment (e.g. QA, production).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list-rum-environments"
  }
}

Input Schema

Name	Required	Description	Default
`botId`	No	QA bots: your botId from your stored TestChimp binding.
`projectApiKey`	No	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.

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedOct 5, 2026

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"
+}

First observedOct 5, 2026

TDQS

A3.8/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds only the intended downstream use, not auth, rate limits, or return format. With annotations carrying the burden, a 3 is appropriate.

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?

Two short sentences with zero waste; the primary action and the sequencing advice are front-loaded.

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

Completeness4/5

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

For a simple read-only list tool with no output schema, the description covers purpose and usage, and annotations cover safety. The only minor gap is that it does not hint at the shape of the returned tags.

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%, so both botId and projectApiKey are fully documented in the schema itself. The description adds no parameter-level detail, so the baseline 3 applies.

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 'distinct RUM environment tags for this project', which is immediately distinguishable from filtering tools like list-meeting-filter-options. It is clear but does not explicitly name a sibling it is not.

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?

'Call this first to choose environment values for TrueCoverage ExecutionScope.environment (e.g. QA, production)' gives a clear when-to-use and even the downstream consumer. It stops short of naming an alternative or a when-not condition.

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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