Skip to main content
Glama

get_job_openings

Retrieve current open job positions with details like job code, title, openings, hired count, experience, and location. Filter by department for referrals or internal hiring.

Instructions

View current open job positions at Appinventiv for referrals or internal hiring visibility. Returns job code (#APxxxx), title, number of openings, hired count, experience requirement, and location. Optionally filter by department keyword. Use get_my_referrals() to see candidates you've already referred.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
departmentNoFilter by department name (partial match, case-insensitive). Examples: 'React JS', 'Data Science', 'Project Management', 'Design'. Leave empty for all open positions.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only describes what data is returned without disclosing authentication needs, rate limits, or side effects. It implies read-only behavior but does not state it explicitly.

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 three sentences long: first sentence states purpose, second lists return fields, third covers optional filter and alternative tool. No redundant information; front-loaded with purpose.

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

Completeness5/5

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

For a simple tool with one optional parameter and an existing output schema, the description covers the purpose, return data, filter option, and points to a related sibling tool. No gaps are apparent.

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 a well-described 'department' parameter including default value and examples. The description adds minimal additional insight beyond what the schema provides, so baseline 3 is appropriate.

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 the verb ('View'), resource ('current open job positions'), and context ('for referrals or internal hiring visibility'). It lists the return fields, distinguishing it from sibling tools like get_my_referrals.

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 explicitly says when to use the tool and provides an alternative for a related task ('Use get_my_referrals() to see candidates you've already referred'). It does not explicitly state when not to use it, but the context is clear.

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/SookieAI/hrms-mcp'

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