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claim_reward_points

Claim reward points for completing tasks in the Amazing Marvin productivity system. This tool allows users to record points earned, associate them with specific tasks, and track completion dates.

Instructions

Claim reward points for completing a task

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pointsYes
item_idYes
dateYes
debugNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
debugYes
successYes
summaryYes
metadataYes
api_versionNocurrent
response_versionNo1.0
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 states the tool's purpose but lacks critical details such as whether this is a write operation (likely, given 'claim'), permission requirements, rate limits, or what happens upon claiming (e.g., points deduction, confirmation). This leaves significant gaps for a tool that likely modifies user data.

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 directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy to parse quickly.

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?

Given the tool has an output schema (which reduces the need to describe return values) but no annotations and 0% schema coverage, the description is incomplete. It covers the basic purpose but misses behavioral details and parameter semantics, making it adequate only in a minimal sense for a tool that likely involves data mutation.

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

Parameters2/5

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

Schema description coverage is 0%, meaning all 4 parameters (points, item_id, date, debug) are undocumented in the schema. The description adds no parameter-specific information beyond the general context of 'completing a task', failing to compensate for the coverage gap. For instance, it doesn't explain what 'item_id' refers to or the format of 'date'.

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 ('claim') and resource ('reward points') with the purpose 'for completing a task', which provides specific context. However, it doesn't differentiate from sibling tools like 'get_kudos_info' or 'mark_task_done' that might involve similar reward/task concepts, preventing a perfect score.

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 minimal guidance by mentioning 'for completing a task', which implies a post-completion context, but offers no explicit when-to-use rules, alternatives, or exclusions. For example, it doesn't clarify if this should be used instead of or in conjunction with tools like 'mark_task_done' or 'get_kudos_info'.

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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