After the merchant submits the on-chain mint transaction for a claimed gift certificate, call this to mark it as minted (status pending_mint → redeemed) and store the mint tx hash.
| Name | Required | Description | Default |
|---|---|---|---|
| certificate_id | Yes | UUID of the certificate | |
| transaction_hash | Yes | Base L2 mint transaction hash (0x...) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses the core behavior: status change and hash storage. However, it does not mention failure modes, idempotency, or whether the operation is reversible, which are relevant for a state-changing tool. The status transition is useful, but additional behavioral context would improve transparency.
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 a single sentence with a clear conditional clause, actions, and state transition. Every word earns its place. It is front-loaded with the trigger context and ends with the specific result. No verbosity or redundancy.
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 state-update tool, the description covers what, when, and how. It implicitly references the pending_mint status prerequisite and the storage action. Lacking are details on return values or error handling, but the output schema is absent, so such details would be valuable. Still, the core semantics are complete enough for an agent to invoke 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 description coverage is 100%, so both parameters already have clear descriptions. The tool description adds the conceptual link between the parameters and the workflow (mint transaction, claimed certificate), but this does not significantly exceed what the schema already provides. Baseline 3 is appropriate.
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 states the action: 'mark it as minted' with the specific status transition 'pending_mint → redeemed' and storing the mint tx hash. This distinguishes it from sibling tools like create_gift_certificate or revoke_gift_certificate by naming the exact operation and state change.
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 provides a clear trigger condition: 'After the merchant submits the on-chain mint transaction for a claimed gift certificate'. This tells the agent when to use it. It does not explicitly mention when not to use it or alternatives, but the context is strong enough for correct selection.
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.