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Physical Capability Cloud

prove_registration

Fast-track: submit evidence that your device works and get auto-approved + activated immediately. No manual review needed. Submit a photo of test output, device health snapshot, or a full evidence bundle with completion events. If evidence meets requirements, registration jumps straight to 'active'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
evidenceYesEvidence proving the device works. Include at least one of: bundleHash+events, photoBase64, or deviceHealth.
registrationIdYesRegistration ID to prove

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?

Annotations only say the tool is non-read-only and non-destructive; the description adds the key behavioral fact that successful evidence bypasses manual review and transitions the registration straight to 'active'. It does not mention failure handling (what happens if evidence is rejected) or any auth/permission requirement, keeping it below 5.

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?

Four short sentences, front-loaded with the outcome and then the accepted evidence forms; nothing is padded. Slightly redundant in that the outcome ('auto-approved + activated') is stated twice in different words.

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 two-parameter mutation tool with a fully described nested schema and no output schema, the description covers purpose, accepted inputs, and the resulting state transition. It omits only the failure path (rejection behavior) and any prerequisites on the registration's current state.

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%, so the schema already documents evidence, events, ipfsCid, bundleHash, photoBase64, deviceHealth, and registrationId. The description restates the accepted evidence forms ('photo of test output, device health snapshot, or a full evidence bundle with completion events') but adds no format or constraint detail beyond the schema's own 'include at least one of' note, so the baseline 3 applies.

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?

States a specific action (submit evidence that the device works) and the concrete outcome (auto-approved and activated immediately, no manual review). This clearly separates it from the approval/verification siblings such as approve_registration and submit_for_human_verification without needing to open a schema.

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 'fast-track ... no manual review needed' framing tells the agent when this path is appropriate and implicitly contrasts it with the manual/human-verification route. It does not name an alternative tool explicitly or state when NOT to use it, so it stops short of a 5.

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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