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alekskram

aster-agent-gateway

Spot Overview

spot_overview
Read-only

Get a spot market overview by combining 24-hour ticker data with exchange info. Filters out TEST pairs, showing active trading pairs for quick market assessment.

Instructions

Spot market overview: sapi ticker/24hr ALL joined with exchangeInfo. ~68 TRADING pairs; TEST* junk filtered by name. Example: spot_overview(limit=10)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already indicate this is a safe read-only, non-destructive operation. The description adds meaningful behavioral detail beyond annotations: it joins ticker/24hr data with exchangeInfo, filters TEST* junk pairs by name, and notes the approximate pair count (~68). This gives an agent a concrete sense of the operation's behavior.

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 compact and information-dense, with the core idea front-loaded and a helpful example. The technical shorthand ('sapi ticker/24hr ALL') is slightly cryptic but does not add unnecessary length.

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 a very simple tool with one optional parameter and an output schema, the description covers the operation's scope, data sources, and filtering behavior. It does not explain return structure, but the output schema exists and annotations cover safety. The only notable gap is explicit sibling differentiation.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It provides a usage example (limit=10) but does not explicitly define what 'limit' controls (likely the number of returned pairs). The example helps, but the semantics are left largely to inference.

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 identifies a specific resource ('spot market overview') and the data sources used (sapi ticker/24hr ALL joined with exchangeInfo), which distinguishes it from broader siblings like market_overview. It lacks an explicit imperative verb, but the intent is clear and scoped to spot trading pairs.

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?

It provides clear context for what the tool returns (spot market overview with trading pairs), which implies when it is appropriate. However, it does not explicitly mention when not to use it or name alternative tools for different scopes, leaving exclusion criteria unstated.

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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