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Get Price

get_price
Read-only

[TRUTH ANCHOR] THE canonical current price (live exchange mid) for a coin — the single source of truth every other n0brains tool's spot/current_price should agree with. Returns {coin, price, source, age_secs, ts}. Use this to sanity-check any analytic payload: if a tool's spot disagrees materially with this, that tool's price is stale and its read should be discounted. Free tier. Public data, not financial advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYes

TDQS

A4.1/5.0
Behavior4/5

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

Beyond the readOnlyHint annotation, the description adds substantial behavioral context: it returns specific fields, is the truth anchor for price consistency, indicates it is free tier and public data, and includes a disclaimer. It does not cover error cases or rate limits, but for a simple read-only getter, it is quite 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 two sentences but packed with value: purpose, output shape, usage, source, and disclaimers. It is front-loaded with the truth-anchor framing and has no unnecessary words. Every sentence earns its place.

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?

Given the tool has one parameter, no output schema, and minimal annotations, the description is quite complete. It covers the return value shape, its authoritative nature, usage context, and data source. Slight gaps include error handling and specific coin format, but overall it is sufficient for a simple getter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage and only one parameter, 'coin'. The description merely says 'for a coin', which almost repeats the parameter name without adding format, example values, or accepted conventions. It does not compensate for the lack of schema information.

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 what the tool does: it returns the canonical current price (live exchange mid) for a coin. It distinguishes itself from siblings by claiming to be the single source of truth that all other tools should agree with, and it specifies the output format.

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?

The description provides explicit usage guidance: use this tool to sanity-check any analytic payload and discount prices from tools that disagree materially. It does not name alternative tools explicitly, but it makes the appropriate context clear without needing exclusions.

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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