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List ledger editions

ledger.list
Read-onlyIdempotent

List the published Category Ledger editions: period, status, data-as-of date and the count released in each.

When to use: Call this first to find which edition covers a period, then fetch that edition by id.

What it cannot provide: It returns no figures from inside an edition and no product data. A closed edition's identity never changes, so this list is safe to cache.

Limits: Identities only. A frozen edition never changes, so its listing and its content are both safe to cache; an in-progress one moves until its period closes. Your plan has a daily limit on how many distinct products, Signals and ingredients you may read. Repeating a question about the same product costs nothing extra; reading many different products costs one each. Do not iterate through products, aliases, or date windows to assemble a copy of the Record: it is refused, scored, and can suspend the key.

FormulaSignal covers a defined, counted set of U.S. pre-workout products. Coverage is not the whole category, and a product being absent from coverage says nothing about that product. Every response carries a status. supported means the Record answered. partial, stale, under_review, ambiguous and unsupported are all real answers about the Record and none of them is a fact about the product: report them as what FormulaSignal holds, never as what is true of the product. Read limitations and repeat what applies. An observation date is when a source was read, not when a change was made, and an observation window is not an exact reformulation date. Nothing here is medical advice or a suitability judgement for any person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent only on a refusal: code, message, and what to do next.
watchNoThe bound account's watchlist or monitoring receipt.
ledgerNo
statusYesWhat kind of answer this is. Every value except `supported` is still a real answer about the Record rather than a fact about the product.
historyNoDated product states, oldest first.
productNoThe covered product the answer is about, when there is exactly one.
signalsNoApproved Signals: confirmed, reviewed changes.
summaryNoOne sentence saying what kind of answer this is.
coverageNo
productsNoCovered products named by the answer.
candidatesNoPresent when `status` is `ambiguous`. Pick one; never assume the first.
capabilityYesThe API capability that answered.
comparisonNo
confidenceNo
disclaimerNo
request_idYesQuote this if you contact support.
limitationsNoAlways present, including when empty. Read it and repeat what applies.
next_cursorNoPass back as `cursor` for the next page. Null on the last page.
calculationsNoDeterministic arithmetic FormulaSignal performed, with its operands.
record_as_ofNoThe Record's as-of date, YYYY-MM-DD.
record_versionNoThe Record data-state id. Two answers sharing it came from one committed state.
verified_factsNoWhat a captured source literally declares.
commercial_factsNoDated commercial observations, each with its price basis.
record_timestampNoThe newest dated observation the Record holds. Deliberately not "now".
research_contextNoDose ranges from the selected evidence set, with citations.
source_referencesNoCitations a reader can open: publisher, URL, observation date.
regulatory_recordsNoFilings and records, each labelled with the class of record it is.
documented_cautionsNoDocumented cautions, kept apart from filings.
methodology_versionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare this read-only, idempotent, and closed-world, and the description adds useful behavior beyond that: closed editions are safe to cache while in-progress ones move until period close, and there is an explicit no-scraping caution. No contradiction with readOnlyHint or idempotentHint exists.

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

Conciseness2/5

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

The front-loading is excellent, but the description becomes bloated: the caching point is stated twice, and the long tail about product coverage, statuses, observation dates, and medical advice is generic boilerplate not specific to listing ledger editions. Those later sentences do not earn their place in this tool's definition.

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 zero-parameter list tool with an output schema, the description is functionally complete: it names the returned fields, gives the expected call sequence, states limits, and clarifies caching. The main deduction is for irrelevant and repetitive boilerplate, not for missing information needed to invoke the tool correctly.

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 has zero parameters and the schema covers 100% of them (there are none), so the baseline is 4. The description does not need to add parameter details; it appropriately explains what the list returns and how to use it.

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 opens with a specific verb and resource: 'List the published Category Ledger editions' and names the exact fields returned (period, status, data-as-of date, count released). It also distinguishes itself from the sibling ledger.get by noting that the list is the first call and fetching an edition by id comes next.

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 'When to use' section is explicit: call this first to find which edition covers a period, then fetch that edition by id. 'What it cannot provide' further prevents misuse by stating it returns no edition figures and no product data, so an agent knows not to use it for those needs.

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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