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

The description clearly distinguishes the behavioral outcomes based on input type: beta codes grant immediate credits, while invitation codes grant credits after a specific future event (user's first finished score). This is essential functional context.

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 functionally efficient, front-loading the core functionality and rules. However, it is slightly dense and conversational, which prevents a higher score.

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?

It covers the full scope of the tool's action and the diverse outcomes of the redemption process (immediate vs. deferred credit). It is highly effective for its defined purpose.

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?

With 100% schema coverage, the baseline is 3. The description adds utility by specifying that the 'code' parameter can be a link, a text code, or a beta code, reinforcing the input format.

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 clearly defines the tool's purpose: to redeem invitation links, codes, or beta codes. This differentiates it functionally from sibling tools like get_invitation_link or check_link.

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?

It provides important operational rules ('once' and 'Never guess codes') but lacks guidance on when the user should trigger the tool (e.g., 'when a code is received').

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.