Skip to main content
Glama
alekskram

aster-agent-gateway

Spot Overview

spot_overview
Read-only

Provides a concise overview of active spot market pairs, merging 24-hour ticker data with exchange info to show only tradable symbols. Use limit to control the number of results.

Instructions

Spot market overview: sapi ticker/24hr ALL joined with exchangeInfo. The spot ticker list carries ~24k ephemeral BTC_UP_DOWN_5M_* options rows that never appear in exchangeInfo; the join keeps only listed symbols with status TRADING (~68 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.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior5/5

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

Beyond the readOnlyHint, openWorldHint, and destructiveHint annotations, the description discloses key behavioral details: it joins two data sources, drops ~24k ephemeral BTC_UP_DOWN_5M_* rows, keeps only TRADING listed symbols (~68 pairs), and filters TEST* junk. This provides a concrete model of the result set's provenance and volatility.

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 each clause adding distinct information about data sources, filtering, and usage. It avoids redundant restatement of the annotations while keeping the example at the end.

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?

The output schema covers the return shape and annotations cover safety, so the main remaining gap is the semantics of the limit parameter. Otherwise, the description provides sufficient detail about data provenance and filtering for an agent to call the tool correctly.

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

Parameters2/5

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

Schema description coverage is 0%, and the description only gives an example call, spot_overview(limit=10), without explaining what limit controls. This is minimal compensation for the missing parameter documentation.

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 explains that this is a spot market overview built by joining the sapi 24hr ticker with exchangeInfo and filtering to TRADING symbols. It is specific enough to be distinguished from siblings, though it lacks an explicit action verb and opens with a phrase close to the title.

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 clearly implies use for spot market overview data and details the filtering behavior, but it never explicitly states when to prefer this tool over siblings such as market_overview or exchange_symbols. Usage context is therefore implied rather than explicitly guided.

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