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claim_reward_points

Claim reward points for a completed task by specifying the task ID, date, and points earned. Track your productivity achievements.

Instructions

Claim reward points for completing a task

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pointsYes
item_idYes
dateYes
debugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
metadataYesMetadata about the data itself
summaryYesHuman-readable insights
debugYes
successYes
api_versionNocurrent
response_versionNo1.0
Behavior2/5

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

Description lacks details on side effects (e.g., points deducted from user), required permissions, or any other behavioral traits. No annotations are provided to compensate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (6 words), which is not conciseness but under-specification. It fails to provide necessary context for tool usage.

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

Completeness1/5

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

Given 0% schema coverage, no output schema details, and 4 parameters with no semantic explanation, the description is insufficient for an agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema has 4 parameters with zero coverage in the schema descriptions. The description does not explain the meaning or expected format of any parameter beyond their names.

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 tool's action: claiming reward points for completing a task. However, it does not differentiate from potential sibling tools like get_kudos_info, which might be related to reward points.

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?

No guidance provided on when to use this tool versus alternatives, or any prerequisites or exclusions.

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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