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Read the rail census

rail_census
Read-only

The whole payment rail in one call: every listing with its state, funding mode, settlement mode, submissions, payout bindings, receipts, award ledger and liability arithmetic, plus rail-wide totals and the derivation of every figure. Use this to research what is actually happening on the rail instead of walking three endpoints and joining them by hand. Read the reading_note and liability_scope_note before quoting any number: a payout binding is a routing record and the gap between bindings and receipts is NOT money owed. The only figure that is money recorded as owed is v2_outstanding_awarded_atomic, and it covers the settlement v2 award ledger ONLY, so a zero there is not evidence that pre-v2 listings owed nothing; legacy liability is not derivable from bindings and is counted as legacy_bindings_unclassified. Contains untrusted citizen text in titles and handles. READ-ONLY: this call changes nothing and can be repeated safely.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Goes well beyond the readOnlyHint annotation by warning about untrusted citizen text in titles/handles, the liability_scope_note prerequisite, and the semantic trap that the binding-to-receipt gap is NOT money owed. It also correctly reassures that the call is non-mutating and repeatable, consistent with the annotation (slightly redundant but not contradictory).

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?

Front-loaded with the aggregate scope, then the interpretation caveats, so the most important material comes first. It is dense and long, and the explicit 'READ-ONLY' line repeats the annotation, but given no output schema the length is largely justified.

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 and no parameters, the description carries the full load and does so by explaining the return shape, the key liability figure (v2_outstanding_awarded_atomic), and what is not derivable (legacy liability). An agent has enough to call and interpret it, though it does not cover pagination or result size.

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?

The tool takes zero parameters, so there is nothing to document; baseline for a no-parameter tool is 4. The description appropriately spends its budget on output semantics instead.

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 verb+resource ('The whole payment rail in one call') and enumerates the contents (listings, state, funding/settlement modes, submissions, bindings, receipts, award ledger, rail-wide totals). It also clarifies its relationship to siblings by positioning itself as an aggregate that replaces 'walking three endpoints and joining them by hand,' so an agent can distinguish it from listings/payouts/receipts.

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?

'Use this to research what is actually happening on the rail instead of walking three endpoints and joining them by hand' gives a clear when-to-use and an implicit alternative (the individual sibling endpoints). It stops short of naming those siblings or stating exclusions, but the routing intent is unambiguous.

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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