Skip to main content
Glama

IoMarkets.tech ISO 20022 Test Bench

Estimate Data API spend

estimate_data_api_cost
Read-only

What a monthly volume of Data API calls costs at the per-call x402 prices, against the indicative subscription plans. Give calls per month for each route; routes left out count as zero.

Input Schema

NameRequiredDescriptionDefault
candlesNoCalls a month to /v1/candles (Candles).
proof_priceNoCalls a month to /v1/proof/price (Price proof).
signal_vwapNoCalls a month to /v1/signal/vwap (VWAP signal).
proof_executionNoCalls a month to /v1/proof/execution (Execution proof).
signal_imbalanceNoCalls a month to /v1/signal/imbalance (Order imbalance).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds meaningful behavioral context: pricing is based on per-call x402 rates, comparisons are against indicative subscription plans, and omitted routes count as zero. It does not describe the return format, but the safety profile is covered by annotations.

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?

Two sentences, front-loaded with the purpose and followed by a precise input rule. Every sentence earns its place.

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?

For a read-only estimation tool with full parameter documentation and no output schema, the description gives enough context to call it correctly. It could say more about the response shape, but the core behavior and input semantics are clear.

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?

Schema coverage is 100%, so all five route parameters are fully documented in the schema. The description adds an important semantic rule not present in the schema: routes not supplied are treated as zero, which clarifies default behavior.

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 states that the tool estimates monthly Data API spend at per-call x402 prices and compares it against subscription plans. It identifies the resource and calculation, though it does not explicitly differentiate from sibling verification or listing tools.

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?

Usage is implied by the input instruction to provide monthly call volumes per route. There is no explicit guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources