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alerts since a cursor

get_alerts
Read-onlyIdempotent

events since a cursor, for alert bots: confluence (several top traders bought the same coin recently), big_trade (one tracked trader bought or sold a large amount) and thesis (a tracked trader posted a thesis). pass the cursor of the previous call as since; without since, the last 15 minutes. thresholds are yours.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_alerts"
  }
}

Input Schema

NameRequiredDescriptionDefault
kindsNo
sinceNothe cursor of the previous call (iso time)
max_mcap_usdNoignore coins above this market cap
min_trade_usdNobig trade threshold in dollars, default 5000
min_top_tradersNoconfluence threshold, default 3

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description usefully adds the default 15-minute window, cursor chaining semantics and the note that thresholds are caller-supplied, but says nothing about rate limits, ordering or what each event payload contains.

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?

A single dense sentence, front-loaded with the core action followed by the kind definitions and then the cursor/threshold conventions, so nothing critical trails. The parenthetical definitions are necessary rather than filler, though the sentence is long and slightly run-on.

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?

With five optional parameters, no output schema and a polling-based contract, the description should describe what an alert event looks like, and it does not — an agent cannot tell what fields a returned alert carries or whether results are ordered. The invocation side (cursor, window, thresholds, kinds) is otherwise well covered.

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?

Schema coverage is 80%, so the baseline is 3, and the description earns more by defining the semantics of the 'kinds' enum values (confluence, big_trade, thesis) that the schema only lists as strings. It also restates the since-cursor convention and the caller-owned thresholds, though min_trade_usd and min_top_traders defaults come from the schema.

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?

The description opens with a specific verb+resource ('events since a cursor') and enumerates the three alert kinds with one-line definitions, which lets an agent tell it apart from sibling readers like get_live_trades or get_theses. It stops short of naming an alternative tool explicitly.

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?

It gives clear operational context: this is for alert bots, callers should pass the previous call's cursor as 'since', and the default window is the last 15 minutes. What is missing is any explicit when-not or pointer to a sibling for fetching the same data non-incrementally.

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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