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market_heatmap

Get token market heatmap — top tokens ranked by 24h performance with volume, market cap, chain (5-min cache) — Market-wide token heatmap: top tokens by 24h volume with price change, volume, market cap, and chain, blended from CoinGecko top markets plus emerging/hidden-gem tokens. Non-gated. Cached ~5min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.9/5.0
Behavior3/5

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

The description notes it is non-gated and cached ~5 minutes, which are helpful behavioral traits. However, with no annotations provided, it lacks details on rate limits, side effects, or whether the data is live or static. More transparency would be beneficial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is fairly concise, using two main clauses to convey purpose and content. It could be slightly more structured (e.g., separating metadata from output details), but overall it is efficient and avoids redundancy.

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 tool with no output schema, the description adequately explains the return values (list of tokens with specified fields). It lacks details on return format or pagination, but given the tool's simplicity, the coverage is sufficient.

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?

There are zero parameters, so the description's job is to clarify the output. It explains the output includes top tokens by 24h volume with price change, volume, market cap, and chain, which adds value beyond the empty schema.

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 it retrieves a token market heatmap ranked by 24h performance with volume, market cap, and chain details. It distinguishes itself from sibling tools like 'trending' by specifying it's a market-wide heatmap blending top and emerging coins.

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?

The description implies usage for a broad market overview with cache and no access restrictions, but it does not explicitly define when to use this tool over alternatives such as 'market_context' or 'trending'. No when-not criteria are provided.

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
Disambiguation4/5

Most tools have distinct purposes, but there are a few pairs with overlapping boundaries (e.g., analysts_signals vs analysts_signals_all, whale_movements vs whale_movements_summary) that could cause minor confusion.

Naming Consistency4/5

Naming is predominantly snake_case and descriptive, with minor inconsistencies in plural/singular forms (e.g., 'analysts' vs 'analyst_archive'). Overall pattern is stable.

Tool Count2/5

With 55 tools, the server is quite heavy. While the scope is broad, many tools are history/monthly variants that could be combined, making the count feel inflated beyond what is ideal for a single server.

Completeness4/5

The tool set covers a wide range of crypto analytics domains (analysts, arbitrage, funding, whales, sentiment, etc.). Minor gaps exist (e.g., no direct token price endpoint), but overall it's a comprehensive surface.

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