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beeboo_request_create

Create work requests for human team members to handle tasks requiring attention or execution. Specify title, description, and priority to queue tasks effectively.

Instructions

Create a work request for the team. Use this to queue up tasks that need human attention or execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesBrief title of the work request
descriptionNoDetailed description of what needs to be done
priorityNoPriority level: low, medium, high, or critical
Behavior2/5

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 mentions 'queue up tasks' implying a write operation, but fails to detail critical aspects like required permissions, whether the creation is immediate or asynchronous, error handling, or what happens after submission (e.g., notification triggers). This leaves significant gaps for a mutation tool.

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 highly concise and front-loaded, consisting of two sentences that directly state the tool's purpose and usage without any wasted words. Each sentence earns its place by providing essential information efficiently, making it easy for an agent to parse quickly.

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

Completeness2/5

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

Given the tool's complexity as a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., side effects, response format), doesn't explain return values, and provides minimal context beyond basic usage, making it inadequate for fully informed tool selection and invocation.

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 100% description coverage, clearly documenting all three parameters (title, description, priority) with details like enum values for priority. The description adds no additional parameter semantics beyond what the schema provides, such as formatting examples or constraints, so it meets the baseline for high schema coverage without extra value.

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 ('Create a work request') and resource ('for the team'), providing a specific purpose. However, it doesn't explicitly differentiate from sibling tools like 'beeboo_approval_request' or 'beeboo_requests_list', which might handle related request operations, leaving room for ambiguity about when to use this specific creation tool.

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

Usage Guidelines3/5

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

The description provides implied usage guidance by stating 'Use this to queue up tasks that need human attention or execution,' which suggests context for when to apply it. However, it lacks explicit when-not-to-use scenarios or direct alternatives, such as how it differs from 'beeboo_approval_request' for approvals or 'beeboo_requests_list' for viewing requests, leaving the agent to infer distinctions.

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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