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tickerbot_create_webhook

The canonical webhook create — POST /v2/webhooks with an explicit trigger object: { type: "scan" | "ticker" | "signal" | "event", … } plus delivery fields. The subscribe tools above are flat sugar over exactly this; use this form when composing the trigger programmatically or when a sugar door doesn't fit. Trigger shapes: scan {type:"scan", q, universe?}; ticker {type:"ticker", ticker, condition}; signal {type:"signal", signal, ticker?, universe?, condition?}; event {type:"event", kinds, tickers?, universe?, event_q?}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoDisplay name. Defaults from the trigger.
cadenceNoEvaluation cadence. Default realtime. (`1m` accepted as a deprecated alias of realtime.)
channelNoDelivery channel. Inferred from the URL you pass if omitted.
columnsNoComma list of extra columns to include with each delivered match (`fields` accepted as alias).
triggerYesWhat fires the webhook: { type: "scan" | "ticker" | "signal" | "event", … } — see the tool description for each shape.
device_idNoRegistered device id from the mobile app (channel mobile_push).
target_urlNoHTTPS delivery URL (`webhook` channel). Omit for in-app.
discord_urlNoDiscord incoming-webhook URL (channel discord).

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the HTTP endpoint, the four trigger shapes, and the relationship to sugar tools, adding meaningful behavioral context. However, it does not mention response format, error handling, or authentication, so it is not fully transparent.

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?

The description is compact yet highly informative. Each sentence contributes: stating the canonical purpose, explaining usage versus sugar tools, and enumerating trigger shapes. It is front-loaded and well-structured.

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 an 8-parameter tool with nested objects and no output schema, the description covers the core complexity (trigger shapes) and provides clear usage context. It does not explain the response format, but the schema handles parameter meanings and the description addresses the main decision of when to use it.

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 100%, providing descriptions for all 8 parameters, so baseline is 3. The description adds value by detailing the 'trigger' object shapes (scan, ticker, signal, event) with their fields, which the schema only refers to as 'see the tool description for each shape.'

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 the tool is 'The canonical webhook create — POST /v2/webhooks with an explicit trigger object', clearly indicating it creates a webhook. It also distinguishes itself from sibling subscribe tools by calling them 'flat sugar' and positioning this as the canonical form.

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?

Explicitly provides usage guidance: 'The subscribe tools above are flat sugar over exactly this; use this form when composing the trigger programmatically or when a sugar door doesn't fit.' This clearly states when to use this tool versus alternatives.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target distinct resource-action pairs, but get_ticker and get_ticker_history overlap (both return a single historical row via asof), and the four subscribe_* tools are thin wrappers around create_webhook, creating some ambiguity. Detailed descriptions mitigate but don't eliminate confusion.

Naming Consistency4/5

The tickerbot_ prefix and verb_noun pattern are consistent (create_*, get_*, list_*, delete_*, update_*), but subscribe_* deviates from create_* for webhooks, and scan/search_news are bare verbs. Overall predictable.

Tool Count2/5

35 tools is excessive for the domain; many could be consolidated (e.g., four subscribe_* variants into a single parameterized webhook creator, get_ticker/get_ticker_history into one). The breadth of data types justifies some volume, but this exceeds the 25-tool threshold for coherence.

Completeness5/5

Full lifecycle coverage for universes, custom signals, and webhooks; extensive read-side for tickers, series, bars, events, news, and scans. No critical dead ends: anything creatable can be updated/deleted/tested, and data lookups have appropriate query tools.