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Get Signals Since

get_signals_since
Read-only

[MONITORING] Polling alternative to the /stream WebSocket. Returns active signals with timestamp > since_timestamp (unix epoch seconds). Use the returned server_timestamp as the next call's since_timestamp to walk forward without gaps. Hard limit 100 per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetNo
signal_typeNo
since_timestampYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
signalsYes
next_cursorNo
market_opensNo
server_timestampNo

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already mark it read-only; the description adds valuable behavioral details such as the hard limit of 100 per call and the server_timestamp walk-forward mechanism to avoid gaps. This goes beyond what annotations provide.

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 concise: four short sentences, each serving a distinct purpose—identifying as a polling tool, describing the core behavior, giving iteration guidance, and stating the limit. No redundant or vague wording.

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 polling endpoint, the description covers the essential behavior, iteration, and limit. It could mention that asset and signal_type are filters, but the presence of an output schema covers return value details, so this is a minor gap.

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?

The schema has 0% description coverage, so the description must compensate. It thoroughly explains the required since_timestamp parameter (unix epoch seconds, walk forward), but does not clarify that asset and signal_type are optional filters, leaving their semantics to the schema titles alone.

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 clearly identifies the tool as a polling alternative to the /stream WebSocket, returning active signals with timestamp greater than a provided since_timestamp. This specific verb+resource+scope distinguishes it from other signal-fetching siblings.

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 explicitly frames the tool as a polling alternative to the WebSocket, giving a clear context for use. It also provides a precise iteration pattern ('Use the returned server_timestamp as the next call's since_timestamp') and notes the hard limit per call, covering both when and how to use it.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes with detailed descriptions, but there are clusters of similar concepts (e.g., get_liquidity_map vs get_liquidation_map, get_state vs get_state_brief, multiple signal-related tools) that could cause misselection despite thorough documentation.

Naming Consistency5/5

All tools follow a consistent lowercase verb_noun pattern, predominantly get_* nouns, with only a few non-get verbs like list_signals, rank_trades, log_trade, etc., but the style is uniform.

Tool Count2/5

With 52 tools, the surface is extremely heavy for an agent to navigate. While the server's scope is broad, the count far exceeds the typical 3-15 range and falls into the 'too many' category.

Completeness4/5

The tool set covers the full lifecycle for journaling, signals, market analysis, and proof, with no major dead ends. Minor gaps exist, such as no dedicated get_trade_by_id (workaround via get_journal) and no get_market_state tool despite being referenced in get_state.

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