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get_current_offer

Retrieve the most recent offer details for a specific application in Greenhouse ATS to track candidate hiring status and compensation information.

Instructions

Get the current (most recent) offer for an application.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 of behavioral disclosure. It states the tool retrieves the 'most recent' offer, implying a read-only operation, but doesn't clarify error handling (e.g., if no offers exist), permissions, or rate limits. This is a significant gap for a tool with no annotation coverage.

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 front-loads the core purpose without unnecessary words. It earns its place by clearly stating what the tool does, making it appropriately sized and well-structured.

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

Completeness3/5

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

With an output schema present, the description doesn't need to explain return values, and it covers the basic purpose. However, for a tool with no annotations and low schema coverage, it lacks details on behavioral traits and usage context, making it minimally adequate but with clear gaps.

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 input schema has 1 parameter with 0% description coverage, but the description adds context by specifying 'application_id' is used to fetch the offer. However, it doesn't explain format constraints or validation rules. Given the low schema coverage, the description provides some compensation but not fully, aligning with the baseline.

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 target resource ('current offer for an application'), making the purpose understandable. However, it doesn't distinguish this tool from sibling 'get_offer' or 'list_offers_for_application', which appear to handle offers differently, so it misses full differentiation.

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 'get_offer' or 'list_offers_for_application'. It lacks context about prerequisites, such as whether the application must have offers, or exclusions, leaving the agent to infer 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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