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What IoMarkets.ai is

get_overview
Read-only

What IoMarkets.ai is and what is built: the Data API (verifiable market data AI agents pay for per call over x402) and Federated Computing (private computing across organisations on confidential hardware), with the main pages and what is a demonstration.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds content scope (Data API, Federated Computing, demonstrations) but says nothing about return shape, depth, or how the overview relates to the other informational tools. With annotations carrying the behavioral burden, this is adequate but not rich.

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 definition is a single front-loaded sentence that identifies the subject first and then lists the covered topics. It is slightly run-on with the parenthetical explanations, but every clause contributes content an agent would want.

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 parameters and no output schema, the description only needs to convey what the tool returns, and it does so by enumerating the overview's subject matter. A brief note on how it relates to get_guide would close the remaining gap, but nothing essential is missing for calling a no-arg informational tool.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the schema is trivially complete and the description does not misrepresent any inputs.

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 names the resource (an overview of IoMarkets.ai) and enumerates the content it covers: the Data API, Federated Computing, main pages, and what is a demonstration. That is more specific than a tautology, but it does not differentiate this tool from siblings such as get_guide or explain_term.

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 only implied: an agent can infer this is a starting-point overview, but the description never states when to call get_overview instead of get_guide, explain_term, or get_api_status. No exclusions or alternatives are named.

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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