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RoundWatch

Prepare RoundWatch Watch

roundwatch.prepare_watch
Read-onlyIdempotent

Validate one expected future Algorand USDC payment and return the exact RoundWatch HTTP/x402 request to create a durable watch. This tool does not settle the x402 payment and does not create the watch by itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
invoiceNoteNoOptional exact UTF-8 Algorand transaction note, maximum 128 UTF-8 bytes.
atomicAmountYesExact watched USDC amount in atomic units. Algorand USDC uses 6 decimals.
expectedSenderYesChecksum-valid Algorand address expected to send the future payment.
idempotencyKeyYesStable key that identifies this watch request and prevents duplicates.
expectedReceiverYesChecksum-valid Algorand address expected to receive the future payment.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations by clarifying that the tool only validates and returns a request, and that it does not settle x402 or create the watch. No contradiction with annotations is present.

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

Conciseness5/5

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

Two sentences with no filler: the first states the core action and output, and the second states essential limitations. The most important information is front-loaded, and every sentence earns its place.

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?

The description is complete enough for a read-only preparation tool: it names the input context (Algorand USDC payment), the output (an HTTP/x402 request), and key boundary behaviors. Since there is no output schema, a bit more detail about the exact returned request structure could be helpful, but the current wording covers what an agent needs to call it correctly.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all five parameters with types, formats, lengths, and meanings. The description adds global context (Algorand USDC, expected future payment) but no per-parameter semantics beyond what the schema provides, so the baseline score of 3 is appropriate.

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 states a specific action ('Validate one expected future Algorand USDC payment') and a precise deliverable ('return the exact RoundWatch HTTP/x402 request to create a durable watch'). It also distinguishes itself from watch execution by explicitly noting it does not settle the payment or create the watch, which separates it from sibling tools like get_watch.

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 gives clear context: use this tool to prepare and validate a watch request while explicitly excluding payment settlement and watch creation. It does not name sibling alternatives or provide explicit when-to-use versus when-not-to-use conditions, but the boundary statements make the intended use fairly unambiguous.

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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