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Get rates for a single symbol

get_rate_by_symbol
Read-onlyIdempotent

Fetch all provider rates for a specific coin symbol. Optionally filter by category — pass category="lending"/"borrowing"/"staking" for yield questions, since unfiltered results mix in spot prices (category="price").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesCoin symbol, case-insensitive (e.g. "btc" or "eth")
categoryNoFilter to a single product category. Without it, results mix spot prices (category="price") in with yields — pass "lending"/"borrowing"/"staking" for yield-only results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive; description adds value by warning that unfiltered results mix spot prices, a key behavioral trait beyond 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?

Two sentences, no fluff, front-loaded purpose, efficient use of words.

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 output schema exists and only 2 parameters, description covers essential behavior and filtering guidance completely.

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 coverage is 100%, but description adds practical guidance for the category parameter, explaining its use for yield vs price scenarios, enhancing the schema's enum descriptions.

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?

Description clearly states 'Fetch all provider rates for a specific coin symbol', specifying the verb and resource, and distinguishes from siblings like get_price by mentioning multiple provider rates and category filtering.

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?

Provides explicit guidance on when to filter by category ('for yield questions') and explains consequence of unfiltered results, but does not directly compare to sibling tools like get_price_by_symbol.

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
Disambiguation5/5

Each tool targets a distinct aspect of cryptocurrency data: coin metadata, prices, rates (current, historical, changes), earn products, market summaries, stablecoin analysis, and symbol resolution. The detailed descriptions clearly differentiate even similar tools like get_price and get_price_by_symbol, or get_rates and list_earn_products.

Naming Consistency3/5

All names use snake_case, but conventions vary: some are verb_noun (get_coin, list_coins, resolve_symbol), some are noun_noun (coin_history, fear_greed_index, market_summary), and some include 'by' for parameters. This mix is readable but could be more consistent.

Tool Count5/5

With 21 tools, the server covers a broad domain of cryptocurrency data without being overwhelming. Each tool serves a clear purpose, and the count is appropriate for a comprehensive data API.

Completeness5/5

The tool set covers nearly all expected operations for a crypto data server: coin listing, metadata, prices, historical data, rates, yield products, market stats, top coins, stablecoin analysis, and symbol resolution. No obvious gaps are present for the stated focus on price, rate, and yield data.

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