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MVR API - Minimum Viable Relationships

Check evidence before MVR scoring

mvr_decision_check
Read-only

Use after evidence completeness to route a structurally complete pack toward licensed MVR scoring or abstain on missing proof. This public tool does not compute market, pilot, or scale readiness. Use when: Use after evidence completeness to determine whether the pack can be routed to licensed MVR scoring or still requires proof. Do not use when: Do not use as readiness, pilot, credit, legal, regulatory, or scale authorization. Submit only consented, data-minimized, redacted or aggregated evidence; never secrets, credentials, or personal identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYesDecision question, resolved subject, market scope, and evidence for a bounded recommendation or abstention.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
statusNo
workflow_idNo
evidence_gapsNo
mcp_next_callNo
mcp_next_toolNo
not_a_verdictNo
response_metaNo
recommendationNo
workflow_statusNo
safe_next_actionNo
verification_basisNo
workflow_expires_atNo
mvr_response_receiptNo
required_user_inputsNo
continuation_dispositionNo
sandbox_evaluation_scopeNo
live_mvr_scoring_executedNo

TDQS

A4.4/5.0
Behavior4/5

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

The description adds behavioral context beyond the readOnly/destructive annotations, including the abstention behavior and strict data submission constraints (consented, data-minimized, redacted, no secrets). This is valuable context that the annotations do not provide, and there is no contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with clear sections, but it contains redundancy: 'Use after evidence completeness' appears in the opening sentence and again in the 'Use when' section. This repetition makes it slightly less concise than necessary.

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?

Given the complexity of the nested schema and the existence of an output schema, the description is largely complete. It explains the routing/abstain behavior and data handling constraints, while the output schema covers return values. Minor gaps remain around what constitutes 'missing proof' but this is acceptable.

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 the baseline is 3. The description adds a crucial semantic constraint about the evidence submitted (consented, minimized, redacted, etc.) that is not apparent from the schema alone, elevating it above baseline.

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 clearly states the tool's purpose: to route a structurally complete pack toward licensed MVR scoring or abstain on missing proof. It uses a specific verb ('route') and resource ('structurally complete pack'), and distinguishes itself from sibling tools by noting it does not compute market, pilot, or scale readiness.

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

Usage Guidelines5/5

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

The description provides explicit 'Use when' and 'Do not use when' sections, stating it should be used after evidence completeness and not as readiness, pilot, credit, legal, regulatory, or scale authorization. This clearly positions the tool relative to alternatives.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a distinct role in the MVR workflow: preflight, entity resolution, evidence completeness check, context compilation, and decision routing. No two tools overlap in purpose, and the descriptions clearly specify when each should be used.

Naming Consistency3/5

All tools share the 'mvr_' prefix, but the suffix pattern is inconsistent: context_compile, decision_check, and entity_resolve follow a noun_verb structure, while evidence_completeness and first_call are noun phrases. This mixed convention reduces predictability, though the prefix provides some coherence.

Tool Count5/5

Five tools is appropriate for the decision-governance pipeline they represent—each step from initial preflight to final routing has a dedicated tool. The scope is neither bloated nor thin.

Completeness4/5

The toolset covers the full decision pipeline: first_call preflight, entity resolution, evidence completeness, context compilation, and final decision routing. Minor gaps include a lack of explicit evidence-capture tooling, but that appears to be external to the server's design, so the surface is reasonably complete for its purpose.