Skip to main content
Glama

get_question

Retrieve a specific demographic question by its ID from the Greenhouse ATS to access candidate information for recruiting workflows.

Instructions

Get a single demographic question by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
question_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Get' implies a read operation, it doesn't specify authentication requirements, rate limits, error conditions, or what happens if the question_id doesn't exist. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 a single, efficient sentence that communicates the core purpose without any wasted words. It's appropriately sized for a simple lookup tool and front-loads the essential information.

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 operation with one parameter and an output schema available, the description is reasonably complete. The presence of an output schema means the description doesn't need to explain return values. However, the lack of annotations and minimal parameter guidance keeps it from being fully comprehensive.

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?

The description mentions 'by ID' which clarifies the purpose of the single parameter, but with 0% schema description coverage, it doesn't provide format details, valid ranges, or examples. Since there's only one parameter, the baseline is higher, but the description adds minimal value beyond what's obvious from the parameter name.

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?

The description clearly states the action ('Get') and resource ('a single demographic question by ID'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar siblings like 'get_question_set' or 'list_questions', which would require more specificity for a perfect score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like 'list_questions' or 'get_question_set', nor does it mention prerequisites or constraints. It simply states what the tool does without contextual usage information.

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/benmonopoli/open-greenhouse-mcp'

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