getLaunchpoolUserCurrentStaking

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

The readOnlyHint and openWorldHint annotations already establish the safety profile, and the description adds no contradictory behavior. It does add that the data is scoped to the authenticated user, which is useful, but it omits other behavioral context such as rate limits, pagination, or response freshness; for a no-argument read call this is acceptable but not rich.

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 core return statement is front-loaded and useful, but the description repeats the same use case twice: 'AI agent can use this to show a user their current staking portfolio at a glance' and 'Agent hint: Use this endpoint to show a user their current staking overview.' The redundancy keeps it from being tight.

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 zero-parameter, read-only tool without an output schema, the description is mostly complete: it identifies the auth scope and names the key return fields (portfolio summary and per-position auto-redeem dates). It leaves minor gaps such as empty-list behavior and explicit format details, but nothing essential for a correct invocation is missing.

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 tool has zero parameters and the schema is empty, so there are no parameter semantics for the description to add; per the rubric this earns the baseline of 4. The description's field-level hints (totalInvestmentUsd, totalEarningsUsd, todayEarningsUsd) are unrelated to parameters but add response clarity.

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 first sentence names a specific verb ('Returns'), a scoped resource ('authenticated user's active Launchpool staking positions'), and the type of data included (USD summary, per-position details). It is clear what the tool does, but it never names or contrasts with sibling tools like getLaunchpoolUserHistory, so differentiation is implicit rather than explicit.

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 explicit usage context: 'AI agent can use this to show a user their current staking portfolio at a glance' and 'Use this endpoint to show a user their current staking overview.' It tells when to use the tool but does not state when not to use it or point to any alternative sibling.

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