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t2000_agent_sell

List an agent's x402 endpoint on its profile to accept USDC payments per API call. Optionally add to the MPP catalog.

Instructions

List this agent's x402 API endpoint on its public Agent ID profile so buyers can pay it per call in USDC. The endpoint is LIVE-PROBED server-side first (must answer 402 with a valid Sui payment challenge — probe failures are returned per-check), then one sponsored (gasless) signature sets it on-chain. The listing appears on agents.t2000.ai and api.t2000.ai/v1/agents/{address} immediately. Requires an on-chain Agent ID (t2 agent register). Set remove: true to clear the listing. Set catalog: true to ALSO list in the MPP catalog (mpp.t2000.ai) — machine-gated (live 402 re-probe + the challenge must pay this agent's own wallet + price cap), per-gate results returned. Mirrors t2 agent sell <endpoint> + t2 agent list-catalog. This does NOT spend funds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
removeNoRemove the listing instead of setting one (default: false)
catalogNoAlso submit to the MPP catalog at mpp.t2000.ai after the on-chain listing succeeds (with remove: true, syncs the catalog entry removal too). Default: false.
endpointNoYour x402 endpoint URL (https). Omit only with remove: true.
Behavior5/5

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

With no annotations provided, the description fully bears the transparency burden. It comprehensively discloses: server-side probing, on-chain gasless signature, immediate listing on specified URLs, no fund spending, and detailed behavior for remove and catalog flags.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is detailed but efficiently front-loaded with the core purpose. Every sentence contributes needed context without redundancy. Could be slightly more concise, but it's well-structured for a complex tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description covers return behavior (probe failures per-check, catalog gate results). It addresses all key aspects: prerequisites, flags, side effects, and success indications, making it adequate for agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Parameter schema coverage is 100%, so baseline is 3. The description adds value by explaining the real-world effect of each parameter (e.g., catalog triggers MPP listing with re-probe and price cap), which is deeper than the schema's bare definitions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: listing an agent's x402 API endpoint on its public profile for pay-per-call. It specifies the action, resource (agent ID profile), and monetization mechanism, distinguishing it from sibling tools like t2000_agents which likely list or view agents.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use (to list an endpoint), prerequisites (requires Agent ID), and the process (live probe, on-chain signature). It lacks explicit 'when not to use' or alternative tool mentions, but the context is clear enough.

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

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