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tickerbot_list_signals_catalog

List the unified signal catalog: every built-in column on the schema (kind: builtin) plus the caller's custom signals (kind: custom). Built-in rows carry the audited spec metadata — description, category, update cadence, ticker coverage (ticker_scope), history depth (history/history_since), queryable resolutions, and asset classes. Use to discover what q= clauses and signal names are available before composing a scan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoFilter by kind. Omit for both. (`expression` is accepted as a legacy alias of `custom`.)
limitNoPage size for custom slice. Max 200. Default 50.
cursorNoOpaque cursor.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses that the catalog contains both built-in and custom signals, and that built-in rows carry audited spec metadata. It does not mention side effects (none expected) or rate limits, but the listing behavior is clear. It adds meaningful content beyond the tool name.

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?

Three concise sentences: the first states the core purpose, the second summarizes the metadata content, the third gives usage guidance. Front-loaded and free of fluff.

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 read-only listing tool with three optional parameters and no output schema, the description provides a clear picture of the catalog's contents and the intended use. It gives enough detail to understand what the response contains (signal names, metadata fields), though it doesn't enumerate every field or pagination details.

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 description coverage is 100%, setting a baseline of 3. The description adds extra meaning by explaining that `builtin` refers to columns on the schema and `custom` refers to the caller's custom signals, which clarifies the enum values beyond the schema text.

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 opens with the specific verb 'List' and the resource 'unified signal catalog', then details exactly what that catalog contains (built-in + custom). It distinguishes itself from siblings by explicitly stating the catalog's purpose: discovering available `q=` clauses and signal names before composing a scan.

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 explicit usage context: 'Use to discover what `q=` clauses and signal names are available before composing a scan.' This tells the agent when to call it, though it doesn't name alternatives or exclusions. That places it at 4 rather than 5.

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.