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sygnldata — market intelligence for trading agents

sygnl47_events_live

Verified POTUS statement events with no delay applied ($2.00).

RETURNS: newest-first list of CONFIRMED observations, same schema as every other tier: verification block (live vs replay via acoustic fingerprinting, independent source count) and market block (abnormal return vs benchmark). GUARANTEED MAX STALENESS: 0 seconds. PRICE: $2.00 USDC — the top of the ladder, because recency is the only thing the price buys. NOT A PREDICTION: verified observation of a public statement and the price action that followed. Zero confirmed live outcomes to date. since: ISO-8601 lower bound on ts_utc (narrows only). limit: 1..500.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
sinceNo
payment_signatureNo

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: max staleness 0 seconds, price, verification and market blocks in returns, note that it's not a prediction, and zero confirmed live outcomes. It provides rich context beyond the raw function call.

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?

The description is structured with clear sections (RETURNS, GUARANTEED, PRICE, NOT A PREDICTION) and is informative. It is slightly verbose with price and return schema details, but each sentence adds value, no waste.

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 3 parameters, no output schema, and no annotations, the description covers parameter semantics, return format, pricing, and even historical context (zero confirmed outcomes). It is sufficiently complete for accurate tool selection and invocation.

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?

Despite 0% schema description coverage, the description explains 'since: ISO-8601 lower bound on ts_utc (narrows only)' and 'limit: 1..500', adding semantic meaning. However, the 'payment_signature' parameter is not described, leaving a small gap.

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 states it returns 'Verified POTUS statement events with no delay applied', using a specific verb ('returns') and resource ('events'), differentiating from siblings like sygnl47_events_1m and sygnl47_events_archive by emphasizing 'live' and 'no delay'.

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 explains the tool returns newest-first confirmed observations with zero staleness and a price of $2.00, implying it's for real-time use. However, it does not explicitly state when not to use it or mention specific alternatives, though contrasts with delayed tiers are clear.

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

A3.7/5.0
Disambiguation5/5

Each tool has a distinct purpose, with clear differentiation between SYGNL/47 event tiers (live, 1m, 15m, archive), subscription management, and auxiliary tools like backtesting and regime detection. No overlapping functionality.

Naming Consistency4/5

Most tools follow a descriptive underscore pattern, with 'sygnl47_' prefix for event and subscription tools, and 'get_' for data retrieval. Some variation in verb prefixes (audit, check, estimate) but overall predictable and readable.

Tool Count4/5

21 tools is slightly high but justified by the tiered data access model for SYGNL/47 events and supporting infrastructure. The count covers core functionality without being excessive.

Completeness4/5

The tool set covers the stated domain well: event monitoring at different recency, backtesting, regime detection, and subscription management. Minor gaps like historical pricing data are not central to the server's focus.

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