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Perp Dashboard

perp_dashboard

Full perp dashboard for a crypto coin: mark price, index price, funding rate + next funding time, open interest, 24h high/low/volume. Requires an EnsoTrade Pro API key (Bearer auth) — generate one at ensotrade.tech, Account -> Developer Access. coin = ticker e.g. 'btc'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the authentication requirement (Pro API key via Bearer auth) and where to generate it, which is critical for invoking the tool. It also lists the return data fields, giving clear behavioral expectations. It does not mention rate limits or error behavior, but for a read-only data fetch this is sufficient.

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: one sentence listing output data, one sentence covering authentication and parameter semantics. Every clause adds value, and there is no redundancy or filler.

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 the tool's moderate complexity (single parameter, authentication needed, rich output), the description covers all necessary invocation details: what the tool returns, how to authenticate, and what the parameter means. Since an output schema exists, the lack of explicit return format documentation is not a gap.

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 schema provides only the parameter name and type (coin: string) with 0% description coverage. The description fully compensates by explaining that 'coin' is a ticker and gives a concrete example ('btc'). This adds essential meaning beyond the schema and leaves no ambiguity.

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 opens with 'Full perp dashboard for a crypto coin' and immediately enumerates the exact data points included (mark price, index price, funding rate, open interest, etc.). It is a specific verb+resource statement that clearly differentiates this tool from siblings that focus on single data streams like get_funding.

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 does not explicitly state when to use this tool over alternatives or mention exclusions. However, the term 'Full perp dashboard' implies a comprehensive view, which guides an agent to prefer it when a broad market overview is needed. Lacking direct comparison to sibling tools, it is adequate but not explicit.

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 target distinct analytics functions (order flow, execution cost, strategy testing, market scans). A few pairs overlap—mass_map/mass_scan, market_rotation/top_movers, and market_snapshot/perp_dashboard—but descriptions clarify differences. No tools are truly indistinguishable.

Naming Consistency3/5

Naming style is mixed: some tools use verb+noun (explain_move, fetch_series, get_funding) while others use descriptive noun phrases (carry_pressure, currency_leg, exit_capacity). The names are readable and meaningful, but the pattern is not uniform. It is not chaotic, but lacks a single consistent convention.

Tool Count4/5

22 tools is on the heavier side but reasonable for a comprehensive crypto analytics suite covering market data, execution analysis, risk, and strategy testing. Each tool serves a distinct purpose and contributes to the overall scope. It is not excessive enough to feel bloated.

Completeness5/5

The tool set covers the full analytics lifecycle: market overview, order-flow explanation, execution routing and cost, position limits, options, and strategy backtesting. There are no obvious dead ends; users can research, test, and validate strategies. The coverage is thorough for the stated trading-analytics domain.

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