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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

A4.4/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses the exact return fields ({coin, price, source, age_secs, ts}), states it provides a live exchange mid, and mentions free tier/public data. This adds valuable behavioral context without contradicting annotations.

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 dense and front-loaded with 'TRUTH ANCHOR' and 'canonical', immediately conveying the tool's significance. Each sentence earns its place: defining the price, listing return fields, giving usage guidance, and adding caveats. No wasted words.

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?

The tool is simple (one parameter, no output schema), and the description covers the return payload, usage context, and limitations. However, the lack of clarity on the 'coin' parameter format leaves a notable gap, preventing a perfect score.

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 only one parameter 'coin' with no enum or description. The tool description merely says 'for a coin' but does not specify the expected format (e.g., ticker vs name vs internal ID). With 0% schema coverage, the description fails to compensate, leaving the parameter ambiguous.

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 that get_price returns the canonical current price (live exchange mid) for a coin and explicitly positions it as the single source of truth, distinguishing it from sibling tools like get_prices. The verb+resource is specific and unambiguous.

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?

The description gives explicit usage guidance: 'Use this to sanity-check any analytic payload' and warns that if another tool's spot disagrees materially, that tool's price is stale and should be discounted. This provides clear when-to-use versus alternatives, even though no alternative is named.

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

A4.1/5.0
Disambiguation4/5

Most tools have distinct purposes, but a few pairs like get_liquidation_map vs get_liquidity_map and multiple signal-fetching tools (get_signal, get_signals_since, list_signals, get_actionable_signals) could be confused without careful description reading. Overall, each tool has a clearly defined role, so the ambiguity is limited.

Naming Consistency4/5

The naming is overwhelmingly consistent: snake_case verb_noun patterns like get_price, list_signals, close_trade, and amend_trade. The exception is 'health' as a plain noun, and a few compound verbs like find_similar_signals, but the overall pattern is strictly followed.

Tool Count2/5

With 52 tools, this is far beyond the typical well-scoped range and falls into the 'too many' category. The broad platform scope justifies many tools, but the sheer number makes the set heavy and harder for an agent to navigate efficiently.

Completeness5/5

The surface covers the full lifecycle: journal management (log, amend, close, void, read), trade vetting (check, plan, rank), signal discovery (list, get, actionable, similar), market data (price, levels, indicators, options), context (macro, liquidity, flows), forensics (manipulation, trust, narrative), and meta (playbook, usage, health). No obvious gaps or dead ends.

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