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Glama

crypto-mcp-server

Server Details

CoinGecko-backed live prices, market caps, DeFi metrics — no per-user API key needed.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

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MCP client
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MCP server

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Tool DescriptionsA

Average 3.9/5 across 2 of 2 tools scored.

Server CoherenceA
Disambiguation5/5

The two tools are completely distinct: one for crypto prices and one for fiat exchange rates. No overlap or ambiguity.

Naming Consistency5/5

Both tool names follow a consistent noun_noun pattern ('crypto_prices', 'exchange_rates'), making them predictable.

Tool Count2/5

Only two tools for a crypto server is very thin. Users would expect additional tools like historical data, conversions, or coin details.

Completeness2/5

Obvious gaps: no direct fiat-to-crypto conversion, no historical price data, no coin metadata. Agents would struggle to perform common tasks.

Available Tools

2 tools
crypto_pricesA
Read-only
Inspect

Get current cryptocurrency prices and market data from CoinGecko. Args: coins: List of coin IDs (e.g. ['bitcoin', 'ethereum']). Empty for top coins. max_results: Max results (default 50)

ParametersJSON Schema
NameRequiredDescriptionDefault
coinsNo
max_resultsNo
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description need not restate safety. It adds that data is 'current' and sourced from CoinGecko, but does not disclose behaviors like rate limits, response format, or handling of invalid coin IDs. This is minimal extra context 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?

The description is compact and front-loaded with the purpose, followed by a concise, well-structured Args section. Every sentence earns its place; no filler or redundant phrasing.

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 simple read-only tool with two parameters and no output schema, the description covers the core purpose and parameters. It does not specify return fields or error behavior, but the purpose is clear enough for the agent to invoke it successfully. Completeness is strong but not maximal.

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

Parameters5/5

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

The description's Args section fully explains both parameters: coins as a list of coin IDs with empty list meaning top coins, and max_results with a default of 50. Since schema description coverage is 0%, the description carries the entire semantic burden for both parameters.

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 'Get current cryptocurrency prices and market data from CoinGecko' uses a specific verb (get) and resource (cryptocurrency prices/market data), and the source (CoinGecko) clearly distinguishes it from sibling tool exchange_rates. It is not a tautology and fully states what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied (e.g., use when you need crypto prices), but the description does not explicitly contrast with exchange_rates or provide when-to-use/when-not-to-use guidance. No exclusions or alternative recommendations are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

exchange_ratesA
Read-only
Inspect

Get current currency exchange rates. Args: base_currency: Base currency code (default 'USD')

ParametersJSON Schema
NameRequiredDescriptionDefault
base_currencyNoUSD
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the bar for additional disclosure is lower. The description adds the 'current' aspect, implying live data, and documents the base_currency parameter, but does not cover error handling, rate limits, or return structure, leaving some behavioral aspects unspecified.

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 extremely concise, consisting of a single sentence for the purpose and a short args list. It is front-loaded and contains no extraneous text, making it highly efficient.

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 simple tool with one optional parameter and no output schema, the description covers the core purpose and parameter semantics. However, it does not describe the return format or the set of supported currency codes, which could leave the agent uncertain about how to interpret the response.

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?

The schema has 0% description coverage, but the description compensates by defining 'base_currency: Base currency code (default 'USD')'. This clarifies the parameter's meaning and default value, though it does not specify the exact format (e.g., ISO 4217), leaving some ambiguity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get current currency exchange rates' clearly states the action (get) and resource (currency exchange rates), distinguishing it from the sibling 'crypto_prices' by focusing on fiat exchange rates. It does not explicitly name the sibling alternative but the purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the purpose: the agent should use this tool when it needs current exchange rates. However, the description provides no explicit guidance on when to use it versus crypto_prices, and no exclusions or alternative scenarios are mentioned.

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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