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Glama

get_market_data

Get real-time USD prices for Bitcoin, Ethereum, Solana, VIRTUAL, AERO and cbBTC. Cost: $0.002 USDC via x402. LIVE.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the cost ($0.002 USDC via x402) and the 'LIVE' nature of the data, which are useful behavioral traits. However, it does not describe the response format, possible errors, or any rate limits, leaving gaps.

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 and front-loaded with the core purpose. It consists of two sentences with no filler, efficiently conveying the action, the assets, and the cost.

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's simplicity (no parameters, no output schema), the description adequately covers the essential aspects: what it does, which assets, and the cost. However, it could be more complete by indicating the expected output shape or typical use cases, though these are not critical for a price-fetching tool.

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 tool has zero parameters and the input schema is empty, so the baseline is 4. The description adds value by enumerating the specific assets covered, which clarifies the scope beyond the empty schema.

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 clearly states a specific verb ('Get') and resource ('real-time USD prices') with an explicit list of covered assets. It does not explicitly distinguish from sibling tools, but those are named 'analyze_holder_clusters' and 'check_token_safety', which are clearly different in scope.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor any exclusions or prerequisites. The description implies its use for fetching current prices, but offers no explicit context or comparison to sibling tools.

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

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct purpose: market data, token safety, and holder cluster analysis. There is no overlap in functionality, making it easy for agents to select the correct tool.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with lowercase snake_case (analyze_, check_, get_). This creates a predictable naming convention.

Tool Count4/5

With only 3 tools, the server is on the lower end of typical counts, but each tool is distinct and serves a specific financial analysis function. The count is slightly thin but not inappropriate.

Completeness2/5

The server only provides three functions, with two not yet live. Significant gaps exist, such as no tool for token price, trading history, or portfolio management, making the surface incomplete for comprehensive finance analytics.

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