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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

trademarks_watch_changes

Fetch changes detected for a trademark watch. $0.05 per call — USDC on Solana via x402 (over MCP: call without payment to get the PaymentRequired challenge, then retry with the payment at _meta["x402/payment"]). HTTP equivalent: GET https://exchangerebel.com/toll/trademarks/watch/{id}/changes.

Input Schema

NameRequiredDescriptionDefault
idYesWatch id returned by POST /watch

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Adds substantial non-schema behavior: the $0.05 per-call price, USDC-on-Solana x402 payment, and the concrete unauthenticated-then-retry flow with the PaymentRequired challenge and _meta["x402/payment"]. This also explains why readOnlyHint=false despite a read-style fetch. It does not say what happens on payment failure or whether repeated calls re-bill.

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?

Purpose is front-loaded in the first clause, then payment mechanics in one compact parenthetical with the HTTP equivalent. No filler, though the x402 retry detail is dense enough to slow a first read.

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

Completeness3/5

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

Payment and invocation are fully covered, but with no output schema the description never indicates what the returned "changes" look like (fields, granularity, or whether an empty result is possible) — an agent must call blind to learn the shape.

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 coverage is 100% and the single id parameter is documented there with its origin (POST /watch). The description adds no semantics beyond the schema, so the baseline 3 applies.

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

Purpose4/5

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

"Fetch changes detected for a trademark watch" gives a specific verb (fetch) and resource (changes for a watch), distinct from siblings like trademarks_watch, trademarks_case and trademarks_search. It stops short of explicitly naming those siblings or stating what a "change" event is.

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

Usage Guidelines2/5

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

No when-to-use / when-not-to-use guidance and no mention of alternatives such as trademarks_watch (presumably for creating or reading a watch). The only implied prerequisite (a watch id from POST /watch) is carried by the schema, not the description.

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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