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submit_for_human_verification

Submit an evidence bundle for human verification. Selects a panel of verifiers from the network and returns assigned verifier IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
photoRefYesReference to the photo evidence (CID or URL)
bundleHashYesSHA-256 hash of the evidence bundle
referenceRefYesReference to the reference/spec document
verifierCountNoNumber of verifiers to assign (default 5)
comparisonScoreNoPre-computed comparison score 0-1 (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations mark it as non-read-only and non-destructive, and the description adds substantive behavior beyond that: submission triggers selection of a real verifier panel from the network and returns assigned verifier IDs. It stops short of disclosing cost, whether the submission is final/irreversible, or timing expectations for verification.

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 tight sentences, zero filler, and the action plus its consequence are front-loaded. Nothing is repeated from the schema or annotations.

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 usefully states the return value (assigned verifier IDs), and it covers the side effect of network-side panel selection for a mutation tool. Missing prerequisites, cost, and finality keep it from being fully 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% with five well-documented parameters, so the schema already carries the parameter burden. The description adds no format, constraint, or interpretation detail beyond what the schema states, which is the expected baseline when coverage is complete.

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?

States a specific verb+resource ('Submit an evidence bundle') and goes further with the second sentence describing the panel-selection effect, which distinguishes it from evidence-storage siblings like submit_evidence_hash. It never names a sibling tool explicitly, so differentiation is inferential rather than stated.

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

Usage Guidelines2/5

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

There is no guidance on when this tool should be used versus respond_to_verification, dispute_verification, verify_evidence_zk, or commit_evidence. No prerequisites are stated either (e.g. whether the bundle must already be committed or the photo already uploaded), leaving the agent to infer the workflow position.

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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