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coalesce-transform-mcp

coalesce-transform-mcp

Official
by Coalesce-Software-Inc
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Get Environment

get_environment
Read-onlyIdempotent

Retrieve full configuration details of a Coalesce environment using its ID, including connection settings, runtime parameters, and tag colors.

Instructions

Get details of a specific Coalesce environment by ID.

Returns full environment configuration including connection details, runtime parameters, and tag colors.

Args:

  • environmentID (string, required): The environment ID

Returns: Full environment object with ID, name, project, connection settings, and configuration.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "environmentID": "<environmentID>"
    },
    "name": "get_environment"
  }
}

Input Schema

NameRequiredDescriptionDefault
environmentIDYesThe environment ID

Output Schema

NameRequiredDescriptionDefault
idNo
nameNo
messageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.10.1

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnly, idempotent, non-destructive. The description adds context about the return value (full environment object with ID, name, project, etc.) without contradicting annotations. It doesn't disclose additional behaviors like rate limits, but given annotations cover safety, this is sufficient.

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 concise with a clear structure: main purpose, return summary, and parameter list. Every sentence adds value with no fluff.

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?

Given the simple getter nature, the description covers the tool's purpose and return values. It mentions key fields (ID, name, project, connection settings) which aligns with expected output. Minor omission of error handling, but overall complete for the tool's complexity.

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 coverage is 100% with description for environmentID. The description repeats this info and adds no further parameter semantics beyond the schema. Baseline 3 is appropriate as schema does the heavy lifting.

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 states 'Get details of a specific Coalesce environment by ID', which is a specific verb+resource. It distinguishes from sibling tools like list_environments (list all) and create_environment (create new).

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 implies usage (when you need details of a single environment by ID) but does not explicitly state when not to use or mention alternatives like get_environment_health. However, the purpose is clear enough for an agent to infer appropriate usage.

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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