[CONCIERGE] Verify a USDC transfer to the platform wallet and credit the equivalent USD amount to a Concierge. Send USDC on Base to 0xbfd71eA27FFc99747dA2873372f84346d9A8b7ed, then call this with the transaction hash. 1 USDC = $1.00 in Concierge Credits.
| Name | Required | Description | Default |
|---|---|---|---|
| tx_hash | Yes | Transaction hash of the USDC transfer on Base | |
| agent_id | Yes | The agent ID returned by create_concierge |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of explaining side effects and context. It discloses the credit effect, the prerequisite transfer, and the conversion rate. It does not mention failure modes or idempotency, but the core behavior is transparent.
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 two sentences, front-loaded with the purpose, and includes essential operational details (wallet address, sequence, conversion rate) without any 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?
The description gives a complete workflow for a straightforward financial tool: where to send funds, how to invoke, and what will happen. It lacks only minor caveats like minimum amounts or return value expectations, but the core context is sufficient.
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%, with both parameters described (tx_hash as the transfer hash, agent_id as the Concierge identifier). The description adds minimal parameter-specific detail beyond the schema, only implicitly referencing the transaction hash.
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 tool verifies a USDC transfer and credits the equivalent USD to a Concierge. It includes specific details like the wallet address and conversion rate, making it distinct from all sibling tools.
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 explicitly sequences the usage: send USDC first, then call with the transaction hash. It also specifies the exact wallet address and conversion rate, but does not mention when not to use it or alternatives.
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.