Skip to main content
Glama

greenhouse_default_department_id

Retrieves the default department ID from Greenhouse for use in hiring workflows and integrations.

Instructions

Greenhouse connector operation default_department_id (platform tool greenhouse.default_department_id).

Routes through /api/tools/invoke under your JWT, tenant, and company scope.

Args: arguments: JSON string of arguments for the connector operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior1/5

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

No annotations exist, and the description does not disclose any behavioral traits such as side effects, required permissions, rate limits, or return behavior. It only describes routing details that are irrelevant to an AI agent's decision-making.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short but fails to convey essential information. The routing details and JWT/scope context are not useful for tool selection. It is under-specified rather than concise.

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

Completeness1/5

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

Despite having an output schema (indicated by context), the description gives no hint of the return value or purpose. For a tool that likely returns a department ID, the description is completely incomplete. It does not help an agent understand what the tool accomplishes.

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

Parameters1/5

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

Schema coverage is 0%, and the description adds no meaningful information about the 'arguments' parameter beyond the schema. It simply states 'JSON string of arguments for the connector operation' without explaining what arguments are expected or how they affect behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description merely repeats the tool name ('default_department_id') without specifying any action or purpose. It does not state what the tool does (e.g., retrieve, set, or list default department IDs). The verb and resource are absent, making it a tautology.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., greenhouse_default_office_id or other Greenhouse tools). It does not mention any context, prerequisites, or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/RPasquale/lightbulb-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server