Confirm that the protocol fee transaction for a previous mint/earn was broadcast on Base. Verifies the fee mint on-chain and clears the obligation. Unconfirmed fee obligations block future mints.
| Name | Required | Description | Default |
|---|---|---|---|
| fee_tx_hash | Yes | Transaction hash of the protocol fee mint | |
| obligation_id | Yes | fee_obligation_id returned by mint_loyalty_tokens or earn_points | |
| recipient_tx_hash | No | Optional transaction hash of the recipient mint |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses that the tool verifies the fee mint on-chain, clears the obligation, and notes that unconfirmed obligations block future mints. This provides meaningful behavioral context beyond the basic action, though it does not cover edge cases like failure modes or idempotency.
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?
Three concise sentences, each adding value: action, verification effect, and consequence. Front-loaded with the verb 'Confirm.' No redundant or filler text; appropriately sized for the tool's complexity.
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?
The description covers the action, its effect, and its importance. With no output schema, it doesn't explain return values, but that is not mandatory. It could mention required permissions or failure behavior, but overall it gives sufficient context for an agent to understand when and why to invoke it.
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%, so the baseline is 3. The description does not add parameter-level detail beyond what the schema already provides; it reinforces the meaning of obligation_id as returned by mint_loyalty_tokens or earn_points, but that is already in the schema. No additional semantic enrichment is present.
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 specifies the action: confirming that a protocol fee transaction was broadcast on Base. It distinguishes itself from mint/earn tools by focusing on the verification and obligation-clearing side, and adds context that unconfirmed obligations block future mints, making the purpose 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 implies when to use this tool: after a previous mint/earn, to verify the fee mint and clear the obligation. It also explains the consequence of not using it (future mints blocked), which guides usage. However, it does not explicitly name alternative tools or state when not to use it, so it falls short of a 5.
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.
Several tools have overlapping purposes, such as mint_loyalty_tokens vs earn_points (both mint loyalty tokens with fee bundles), create_loyalty_program vs register_loyalty_program (deploy vs register existing token), and activate_loyalty_program vs update_program_status (both manage program status). Some pairs like check_voucher_status and list_gift_certificates also overlap on voucher/certificate tracking. However, descriptions are detailed enough to reduce ambiguity for careful agents.
Most tools follow a consistent verb_noun snake_case pattern (e.g., create_reward, list_loyalty_programs). Subtle deviations include earn_points vs mint_loyalty_tokens (different verbs for similar mint operations) and use_voucher vs redeem_reward (different verb styles for redemption). Overall, the naming is predictable and understandable.
With 39 tools, this server is bloated for a loyalty platform. The addition of Bazaar discovery/payment tools and report management expands the scope, but many tools overlap or cover minor variations (e.g., two workflow planners: generate_program_defaults and get_program_workflow_status). A leaner set of 20-25 tools would be more appropriate.
The tool surface covers the full loyalty program lifecycle: creation, activation, registration, token minting/transfer, rewards, gift certificates, vouchers, offers, customer export, analytics, and reports. Notable gaps include no CRUD for personalized offers (only create), no edit capability for rewards (only status changes), and no direct function to list all vouchers by merchant (only status check by code). These are minor workarounds.