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IoMarkets.tech ISO 20022 Test Bench

Check an execution-quality report

verify_execution_report
Read-only

Check the whole JSON that POST https://api.iomarkets.tech/v1/proof/execution returned ({ audit, summary, attestation }): that the ed25519 signature matches the published IoMarkets key, that its USDC payment is confirmed on Algorand mainnet (a public indexer IoMarkets does not run), that the rows hash to the signed audit_sha256, and that every row and the summary recompute with the API's own scoring, against the last trade and against the arrival mid (side-aware cost, qty-weighted averages, spread, matched and unmatched fills). The same checks as the page at https://iomarkets.tech/execution-check. Returns each check, and the recomputed summary as structured data.

Input Schema

NameRequiredDescriptionDefault
reportYesThe response body as JSON text, exactly as received: { "audit": [...], "summary": {...}, "attestation": { "payload": {...}, "signature": "…" } }.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Beyond readOnlyHint/openWorldHint, it discloses that verification depends on a public Algorand indexer that IoMarkets does not run (an external third-party dependency the agent cannot control) and that it recomputes values with the API's own scoring rules rather than just echoing the report. It does not mention failure/timeout behavior when the indexer is unreachable, which is the main residual gap.

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 essential scope is front-loaded in the first clause, and the closing sentences cover equivalence to the web page and the return shape. The central sentence is very long with many stacked clauses and could be split for readability, but no sentence is filler.

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, the description carries the return contract and does so ('returns each check, and the recomputed summary as structured data'). For a read-only verification tool with a single well-documented parameter, the only missing pieces are error/failure semantics when signature or indexer checks fail.

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?

There is a single parameter with 100% schema description coverage, so the baseline is 3. The description reinforces the key semantic — pass the response body verbatim, as the whole {audit, summary, attestation} object — but adds no format detail beyond what the schema already states.

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?

The description names a specific verb (check/verify) and a precisely scoped resource: the whole JSON body returned by POST https://api.iomarkets.tech/v1/proof/execution, enumerating the four checks performed (signature, on-chain USDC payment, row hash vs audit_sha256, recomputation). This clearly separates it from siblings like verify_proof and verify_asset_with_issuer, which operate on different artifacts.

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 makes the applicable context explicit — you use it on an execution report returned by that specific endpoint, and it performs the same checks as the public execution-check page. It stops short of naming exclusions or pointing to a sibling when the input is something other than a full execution report (e.g. a bare proof, which would go to verify_proof).

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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