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processed_crypto_longshort

Finance Signal Bundle - get live computed signal: Processed analytics layer over crypto derivatives: 30-period percentile rank, 4-period momentum, and a plain-language trend verdict. Turns r Price 0.01 via x402 (USDC on Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
walletNooptional 0x wallet for X-Wallet free tier (free credits every month: 100 anonymous or 5000 with a bound wallet)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, but it is largely limited to saying the signal is 'live' and 'processed.' The pricing/payment phrase 'Turns r Price 0.01 via x402 (USDC on Base)' is garbled and unclear, and there is no mention of authentication, rate limits, or whether any cost is actually incurred.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with 'get live computed signal,' but the opening 'Finance Signal Bundle' is redundant and the final sentence is fragmented and confusing. A cleaner structure could convey the same content more effectively.

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?

There is no output schema and no annotations, and the description does not explain the return format, what 'longshort' means in practice, which crypto instruments are covered, or how pricing via x402 works. An agent would struggle to predict the response or know the operational implications of calling this tool.

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 100% and clearly explains the optional wallet parameter and the free-tier credit distinction. The tool description itself adds no parameter-level detail, so the schema is doing the work; baseline 3 applies.

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 clearly identifies a live computed signal over crypto derivatives and lists the concrete components: 30-period percentile rank, 4-period momentum, and a plain-language trend verdict. It does not explicitly differentiate this from the many sibling crypto 'processed_*' tools, but the core purpose is understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool instead of alternatives such as processed_crypto_prices, processed_crypto_funding_rate, or processed_crypto_oi. The description states what it computes but not the intended use case or selection context.

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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