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HelpCrunch MCP by usefulapi

Get organization

helpcrunch_get_organization
Read-only

Get the organization's live-chat availability status — domain, whether the team is online (teamOnline), and whether chat is enabled (chatEnabled). HelpCrunch REST: GET /organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

readOnlyHint=true already establishes a safe read, and with no output schema the description usefully discloses the return shape (domain string, teamOnline and chatEnabled booleans), which is genuine added context. It stops short of describing error behavior or rate limits, but for a simple availability read 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?

A single dense sentence leads with the resource and its key fields, then appends the REST endpoint. No filler, no restatement of the title, and the most decision-relevant information is 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 parameterless read-only tool, the description covers what it is, what it returns, and the underlying endpoint, with annotations handling the safety profile. The only gap is the absence of any usage framing or error/auth notes, which is minor at this complexity.

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

Parameters4/5

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

The tool takes zero parameters, so per the calibration baseline a 4 applies. There is nothing for the description to disambiguate, and it correctly adds no parameter noise.

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?

States a specific verb ('Get') and resource ('organization') and then enumerates the exact payload fields (domain, teamOnline, chatEnabled). This cleanly distinguishes it from all siblings, which operate on chats, customers, agents, and departments.

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 nature of the response (live-chat availability) implies the use case — checking whether the team is online before routing a message — but the description never states when to call this versus alternatives like helpcrunch_list_departments or helpcrunch_list_agents, nor any prerequisites.

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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