[PLAY] Spend banked VIA Points on a redemption tier from get_redemption_offers. Issues a one-time RRG voucher code for that brand. Provisional points cannot be spent.
| Name | Required | Description | Default |
|---|---|---|---|
| tier_id | Yes | Redemption tier id from get_redemption_offers | |
| agent_wallet | Yes | Your agent wallet address on Base |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the one-time voucher issuance and the restriction on provisional points, adding useful behavioral context. However, it omits critical side effects like the irreversible nature of point spending or any authorization requirements, leaving gaps.
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 three concise sentences with no filler, front-loaded with the primary action. Every sentence adds value, covering purpose, source, outcome, and a constraint.
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 simple tool with 2 parameters and no output schema, the description covers the prerequisite (get_redemption_offers), the action, and the output (voucher code). It lacks error handling and cancellation details but is sufficient for an agent to select and invoke the tool correctly.
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?
Schema coverage is 100% for both parameters, so the baseline is 3. The description adds a helpful pointer that tier_id comes from get_redemption_offers, but this is minor and does not significantly enhance understanding beyond the schema.
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 names the specific verb 'spend', the resource 'VIA Points', and the object 'redemption tier', clearly distinguishing this from siblings like get_redemption_offers and redeem_voucher. It also states the outcome (one-time RRG voucher code), making the tool's function unambiguous.
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 references get_redemption_offers as the source of tier_id, implying a prerequisite workflow. However, it does not explicitly name alternative tools or provide exclusion criteria (e.g., when not to use this vs redeem_voucher), so it falls short of full guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes with clear category tags. Minor potential confusion between get_current_brief vs list_briefs and get_brand vs get_brand_mcp_endpoint, but descriptions clarify intent.
All tools follow a consistent verb_noun pattern using lowercase with underscores, e.g., check_agent_standing, list_drops, submit_design. No mixing of conventions.
32 tools is on the high side, but the server covers a wide domain including browsing, purchasing, design submission, concierge, and marketing. Each tool serves a specific function, though some consolidation could be possible.
The tool surface covers the full lifecycle of browsing, purchasing, design creation, commissions, and concierge services. Minor gaps like refund handling are absent, but the core workflows are well-supported.