Skip to main content
Glama
AllocContext

AllocContext

by AllocContext

get_market_context

Retrieve a consolidated market backdrop combining sentiment, macro indicators, ETF flows, and breadth. Filter by assets such as BTC and ETH, with cached or live data.

Instructions

Fused market backdrop: sentiment (Fear & Greed, Kalshi), macro events, FRED indicators, ETF flows, and market breadth. Optional assets filter (default BTC, ETH). freshness=cached uses the local ingest DB; freshness=live runs ingest first (requires ingest API keys on the host).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNodaily
freshnessNocached
assetsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that live ingest requires API keys and that cached uses a local DB, but it does not mention if the tool is read-only, rate limits, or potential side effects. The behavioral aspects are partially covered.

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 two sentences long, front-loading the purpose in the first sentence and parameter specifics in the second. No redundant words; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has three parameters and an output schema (though not shown). The description provides enough to understand the data sources and freshness options but does not detail the output format or how it integrates with sibling tools. Given the output schema exists, return values are covered, but more context on when to use this tool in a workflow would improve completeness.

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 explains the assets parameter (default, optional) and the freshness parameter (values and semantics). However, the scope parameter is only given a default value without any explanation of its meaning or allowed values.

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 lists specific components (sentiment, macro events, FRED indicators, ETF flows, market breadth) that clearly define the tool's scope. It distinguishes from sibling tools like check_allocation_band which likely focus on different data. However, it lacks an explicit action verb (e.g., 'retrieves') and the phrase 'Fused market backdrop' is somewhat vague.

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 explains the optional assets filter and the two freshness modes (cached vs live) with their prerequisites. It does not specify when to use this tool over alternatives like get_context_at or other siblings, nor does it provide exclusions or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AllocContext/alloc-context'

If you have feedback or need assistance with the MCP directory API, please join our Discord server