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Glama

AgentData — crypto market data with a checkable record

by io.github.speteai

get_market_pulse

Bundle for $0.018 USDC: 8 signals in one call and one payment — sentiment, liquidation levels, volatility, correlation, funding predictions, positioning, supply, stablecoin health. Buying them separately costs $0.022 and eight settlements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paymentNoOptional. Base64 x402 payment payload you signed yourself (ERC-3009 TransferWithAuthorization, USDC on Base). Call without it once to receive the payment requirements, sign those, then call again with this argument. This server forwards the payload and never holds a key.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changed
    • addedInput schema / properties / payment
      Added value: +{
+  "description": "Optional. Base64 x402 payment payload you signed yourself (ERC-3009 TransferWithAuthorization, USDC on Base). Call without it once to receive the payment requirements, sign those, then call again with this argument. This server forwards the payload and never holds a key.",
+  "type": "string"
+}
  2. Added

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description partially discloses a significant behavioral trait: this tool requires a payment of $0.018 USDC and makes a single settlement. However, it does not explain the two-step payment flow (call without payment to get requirements), what happens on a failed payment, or any other side effects. The parameter schema fills some gaps, but the main description still does not give a complete behavioral picture.

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?

One sentence with no filler, front-loaded with the key value (price and '8 signals in one call') and supported by a compact list of the signals. It is structured well for scanning, though the long list of signal names makes it slightly dense.

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?

Given there is no output schema and no annotations, the description should explain what the tool returns and how payment works. It lists the eight signals and the one-payment behavior, which is helpful, but it does not describe success/error responses, call flow steps, or whether the first call without the payment parameter returns requirements. The parameter schema compensates partially, but completeness remains moderate.

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

Parameters4/5

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

The schema coverage for the single 'payment' parameter is 100%, with a detailed description covering the Base64 payload and ERC-3009 flow. The description adds extra meaning by specifying the exact price ($0.018 USDC), which is useful and not present in the schema, helping the agent understand the payment amount and context.

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 communicates that this tool is a bundle of 8 specific market signals, listing them precisely. It distinguishes itself from the sibling signal-specific tools (e.g., get_sentiment, get_volatility), but it lacks a strong explicit verb like 'retrieve' or 'get,' relying on the tool name for the action.

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?

The description implies use of this tool when multiple of the eight listed signals are needed, comparing the cost and settlement count with buying separately. It does not explicitly state exclusions or when to prefer single-signal tools, but the cost comparison gives clear context for choosing this bundle over the individual siblings.

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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TDQS

B3.2/5.0
Disambiguation3/5

Most tools target clearly distinct metrics, but the paid/free sample pairs (get_crypto_prices/try_crypto_prices, etc.) and overlapping summary tools (get_market_overview, get_market_pulse, get_overnight_risk_brief) create some selection ambiguity. Descriptions list components, so an agent can disambiguate with effort, but the boundaries between bundles and single-purpose tools are not always obvious.

Naming Consistency5/5

Tool names consistently follow a verb_noun pattern: get_ for data retrieval, try_ for free samples, and watch_condition for persistent monitoring. All names use lowercase snake_case with no mixed conventions, making the naming predictable and easy to navigate.

Tool Count2/5

34 tools is well above the comfortable range for a typical MCP server and feels heavy even for a broad crypto data domain. The count is inflated by paid/free sample duplicates and multiple bundle variants that could have been consolidated.

Completeness4/5

The surface covers a wide range of crypto data: prices, funding, sentiment, arbitrage, derivatives, on-chain metrics, signal history, and monitoring. Minor gaps exist—such as no obvious generic signal discovery tool or order-book/trade-level data—but the core domain of market data with checkable records is thoroughly served.

Resources