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crypto.market-analyzer

Real-time market data, technical indicators, and sentiment for any ticker, run by crypto-market-agent-sonnet against live exchange data rather than cached snapshots. Settlement proof: ProofOfSettledOutcome (kind 30120, data/proof_settled_outcomes.jsonl). Broader single-ticker view than any one oracle.* SKU; feeds crypto.investment-plays' risk scoring. May deliver with a first-line DEGRADED notice when live data is unavailable. (x402: $0.02 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoTask/query text for this SKU

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full behavioral burden and does so well: it discloses live-vs-cached data, a DEGRADED first-line notice when live data is unavailable, settlement proof artifact, and per-call cost (x402 $0.02 USDC). It does not cover auth requirements or rate limits, but the freshness, failure-mode, and cost disclosures are meaningful.

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?

Front-loaded with the core capability, then supporting details (provenance, sibling positioning, degradation behavior, cost). It is dense but each clause adds operational value; slightly compressed for easy scanning.

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?

With no output schema and no annotations, the description must carry everything, and it covers data source, freshness, failure mode, cost, and sibling positioning. The one gap is return-shape/pagination expectations, but for a single-param analysis tool it is largely complete.

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 there is a single optional 'task' parameter, so the baseline is 3. The description adds no syntax or format guidance for the 'task' field, leaving the schema to do all the work.

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?

States a concrete resource and scope: 'Real-time market data, technical indicators, and sentiment for any ticker,' a specific verb-free but resource-explicit purpose. It actively differentiates from siblings by positioning itself as a 'Broader single-ticker view than any one oracle.* SKU,' so an agent can distinguish it from oracle.price-feed, oracle.sentiment-analysis, etc.

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

Usage Guidelines4/5

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

Provides clear context: use this for a broad single-ticker view that exceeds any individual oracle.* SKU, and notes it feeds crypto.investment-plays' risk scoring. It stops short of explicitly stating when NOT to use it or naming the exact alternative to pick instead for a narrower need, so it is strong but not fully routing.

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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