hivelearn_create_question_bank
Create an empty question bank. Add questions with hivelearn_create_question_bank_item.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| description | No |
Create an empty question bank. Add questions with hivelearn_create_question_bank_item.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | ||
| description | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the primary effect (creates an empty bank) but nothing else—no side effects, permissions, idempotency, or what happens on name conflicts. For a simple create operation, the minimal description conveys the essential behavior but leaves other behavioral aspects undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no filler. It front-loads the purpose ('Create an empty question bank') and immediately provides actionable guidance for the next step (adding questions). Every sentence earns its place, and the structure is clean.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple create tool with two scalar parameters and no output schema, the description covers the essential workflow by mentioning the empty state and pointing to the item tool. It doesn't describe return values, but that's optional given the lack of an output schema. The only minor gap is no mention of naming conventions or what the 'description' field is for, though these are inferable from the schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, so the description must compensate for the schema's lack of parameter documentation. However, the description does not mention the 'name' or 'description' parameters at all, nor their purpose or constraints. The parameter names are self-explanatory, but the description adds no value beyond what the schema already shows, failing to compensate for the coverage gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Create an empty question bank.' It distinguishes itself from the sibling hivelearn_create_question_bank_item by explicitly noting the bank starts empty and that questions are added via the item tool. This makes the tool's purpose immediately clear relative to its closest sibling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear usage context: use this tool to create an empty question bank, then use hivelearn_create_question_bank_item to populate it. It names the explicit alternative for adding questions, which guides the agent's workflow. However, it doesn't mention any exclusions or when not to use this tool, such as when updating an existing bank might be more appropriate.
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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