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Echo Sentiment — XLM Market Sentiment

$0.10 — screen_multi_asset_strategy

screen_multi_asset_strategy

PAID $0.10 per call (https://api.6766587364.lol/v1/multi-asset). Strategy screen across 8 major assets: trailing return vs buy-and-hold, momentum and a ranked verdict per asset. Returns a payment requirement until called with a payment header, a prepaid bundle_token, or a free-tier api_key (mint one with get_free_api_key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo
api_keyNo
paymentNo
tickersNo
bundle_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and adds meaningful behavioral detail: the call is paid, requires a payment header, bundle_token, or api_key, and will return a payment requirement until authenticated. It does not explicitly state whether the operation is read-only, but it discloses the most important non-obvious 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 front-loads the price and core purpose before the auth details. Minor redundancy exists between the title's '$0.10' and the opening 'PAID $0.10 per call', but no sentence is wasted.

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

Completeness2/5

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

The payment/auth flow is well covered, but the tool has no annotations, no output schema, and five undocumented parameters, and the description fails to explain period and tickers or describe the response format. An agent would still struggle to construct valid invocation arguments.

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%, so the description must compensate for all five undocumented parameters. It only clarifies payment, bundle_token, and api_key; the functional parameters period and tickers are never explained, leaving the agent without guidance on what values to provide.

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 states a specific action and resource: 'Strategy screen across 8 major assets' with concrete outputs ('trailing return vs buy-and-hold, momentum and a ranked verdict per asset'). This clearly distinguishes it from the get_* sibling market-data tools and avoids any tautology.

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 conveys usage context indirectly by describing what the tool screens and by explaining the required payment/auth setup, including a pointer to get_free_api_key for minting a key. However, it never explicitly says when to choose this tool over sibling screening or market-data tools, nor lists any exclusions.

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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