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Get transaction intelligence coverage

get_transaction_intelligence_status
Read-onlyIdempotent

What NERAI's transaction layer currently covers: register size and per-source health, enforcement corpus size by authority, CHPL vintage, and which checks require the platform rather than this connector. Use it to know what a full assessment would add.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds useful context that some checks 'require the platform rather than this connector' – i.e. it discloses a capability boundary – but says nothing about response shape, freshness, or cost, which would matter for a status/coverage endpoint.

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?

A single dense sentence listing coverage areas followed by a one-line usage hint. Front-loaded with the main concept, no filler. Slightly cluttered with proper nouns (NERAI, CHPL) that an agent may not know, but length is appropriate for a no-arg status tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-input read-only status tool this is nearly adequate: it names the coverage dimensions. But with no output schema, the description leaves the agent guessing the actual return structure and whether the 'platform vs connector' distinction maps to returned fields. It says what is covered but not how to read the result.

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?

There are zero parameters, so the baseline is 4; there is nothing to misinterpret and no parameter semantics to compensate for. The description correctly does not waste words on 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?

States a specific resource (coverage status of the transaction intelligence layer) and enumerates the contents: register size, per-source health, enforcement corpus size by authority, CHPL vintage, and platform-only checks. That is clear, though it never says in a verb-first way what action the tool performs (report/return) and does not name a sibling it is distinguished from.

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?

'Use it to know what a full assessment would add' implies a prospective/coverage-check usage, but gives no explicit when-to-use vs. when-not, no prerequisite, and no reference to any of the 15 sibling tools such as check_commodity_controls or get_sanctions_overview. Usage is inferred rather than stated.

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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