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philpof102-svg

onchain-forensics

watch_wallet

Monitors a wallet to detect new allowances and first-time counterparties, judges each against a known-bad screen, and reports blind spots. Uses transactions for accuracy.

Instructions

What CHANGED around this wallet since we last looked? The other tools answer at a point in time; this one remembers, which is what turns them into a guard. Three unlimited approvals granted last year are a standing condition; a fourth appearing this morning is an event, and only the second deserves to interrupt anyone — a monitor that repeats its standing conditions teaches its reader to close it, and a closed monitor is worth nothing. Detects new live allowances and first-time counterparties, then JUDGES each one against a local known-bad screen and the explorer rather than merely announcing it. Uses transactions, not event logs, because an ERC-20 Transfer log names whoever the emitting contract chose. Reports its own blind spots every run: on a wallet monitor an empty alert list reads as "you are safe". First run is an inventory, not a set of events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase (default) | ethereum
ownerYesthe wallet address to watch
persistNodefault true — save state so the NEXT call can diff against it
Behavior5/5

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

No annotations provided, so description carries full burden. Discloses key behaviors: detects new allowances and counterparties, judges against known-bad screens, uses transactions not logs, reports blind spots, and describes persistence effect.

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

Conciseness2/5

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

Description is overly verbose and metaphorical, with flowery language that obscures clarity. Could be significantly condensed without losing meaning.

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

Completeness5/5

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

Given 11 sibling tools and no output schema, the description thoroughly explains behavior, differentiation, and edge cases (first run, blind spots). Complete for its complexity.

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 covers all 3 parameters with descriptions (100% coverage). Description adds minimal extra context (e.g., effect of persist). Baseline 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?

Clearly states the tool watches for changes around a wallet since last check, distinguishing it from siblings that only answer at a point in time. The verb 'watch' and resource 'wallet' are explicit.

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?

Implies usage for monitoring changes over time, contrasts with point-in-time tools. Notes first run is an inventory. However, lacks explicit when-not-to-use or alternative tool names.

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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