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oracle_watch_window

Oracle Watch for monitored trust signals. Use it to read one trust snapshot or history series, buy a 24h monitored window, or poll/close an already purchased window. Each call selects the branch with "op": snapshot, history, begin, poll or close. Do not use it for pre-trade safety (use trade_guard op check_safety), do not buy a second window for the same subject, and never reuse a token after close. Returns the trust signal or history series, the windowId plus one-time oww_ token and expiry for begin, and the poll signal or combined close summary for window ops. Absorbs the deprecated names oracle_watch, oracle_watch_window_begin and oracle_watch_window_control. Metering: begin is 500 credits / $0.500 for the 24h window; in-window poll and close are covered (0 credits); snapshot and history are C3 (20 credits / $0.020).

Input Schema

NameRequiredDescriptionDefault
opYes
daysNo
chainNoChain-name filter (e.g. "ethereum", "base", "hyperevm"); not a numeric chain id
symbolNoAsset symbol to watch
intervalNo
window_idNo
window_tokenNoOne-time oww_ token from the purchase

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / chain / description
      Added value: +"Chain-name filter (e.g. \"ethereum\", \"base\", \"hyperevm\"); not a numeric chain id"
  2. Added

TDQS

A4.5/5.0
Behavior5/5

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

No annotations are supplied, so the description carries the full behavioral burden and does so: it discloses that the oww_ token is one-time, that tokens are invalid after close, and that begin costs 500 credits / $0.500 while in-window poll and close are free and snapshot/history are 20 credits. It also notes which deprecated tool names are absorbed, which matters for an agent choosing among near-identical siblings.

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 purpose and the branching model are front-loaded in the first two sentences, and the prohibitions and metering follow in a logical order. It is dense but nearly every clause carries distinct information; the metering sentence is long but genuinely decision-relevant for a paid call.

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?

For a 7-parameter, 5-branch tool with no output schema, the description covers return values per branch (signal/series, windowId plus token and expiry, poll signal or close summary), costs, and token lifecycle. The remaining gap is the un-explained optional parameters (days, interval, window_id) that determine history and window behavior.

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 only 43%, and the description compensates for the hardest part by explaining what each op value means and where windowId and the oww_ token come from. However, it adds no meaning for days, interval, or window_id beyond the schema, leaving several low-coverage parameters undocumented in either place.

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 names a specific resource (Oracle Watch trust signals) and enumerates the five branches it multiplexes: snapshot, history, begin, poll, close. It also explicitly distinguishes itself from the sibling trade_guard (op check_safety), so an agent can tell the two apart without opening either schema.

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

Usage Guidelines5/5

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

It gives explicit when-to-use (read one snapshot or history series, buy a 24h window, poll/close a purchased window) and explicit when-not-to-use (pre-trade safety belongs to trade_guard). It also states two hard constraints: do not buy a second window for the same subject and never reuse a token after close.

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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