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get_receipts

Get the append-only archive of Ed25519-signed data receipts: every value signed for a series within the rolling window (current + previous signing year), revisions retained, each entry carrying its claim, claimHash, signature, and keyId. Call with no series for the catalogue plus the keyId→publicKey map and the permanent yearly ledger URLs. Same engine as /api/receipts. Try: {}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesNoSeries key, slug, title, or approved alias; omit for the catalogue.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and delivers: it discloses append-only semantics, revision retention, Ed25519 signing, and what the no-series call returns (catalogue, keyId→publicKey map, yearly ledger URLs). The read-only archival nature is clear; no side effects or auth caveats are needed.

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

Conciseness5/5

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

Three packed sentences, front-loaded with purpose, followed by usage behavior and a concrete example. Each sentence earns its place; 'Try: {}' is a useful shorthand for the no-series call. No fluff or repetition.

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

Completeness5/5

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

No output schema and no annotations, so the description must explain return behavior, and it does: entry fields, catalogue form, keyId map, ledger URLs, rolling window, and append-only retention. For a one-param, non-nested tool, nothing essential is missing.

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 covers series at 100%, so baseline is 3. The description adds the meaningful consequence of omitting series – returning the catalogue plus the keyId map and ledger URLs – which enriches the agent's understanding beyond the schema's type description.

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 ('Get') and a precise resource ('append-only archive of Ed25519-signed data receipts'), then details what each entry carries: claim, claimHash, signature, keyId, and the rolling-window scope. This gives a concrete, distinctive purpose even amid noisy sibling names.

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?

Gives explicit call guidance: 'Call with no series for the catalogue plus the keyId→publicKey map and the permanent yearly ledger URLs,' and offers a concrete invocation hint ('Try: {}'). It provides clear context on parameter behavior, though it doesn't explicitly contrast with alternatives or state when not to use it.

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

A4/5.0
Disambiguation3/5

Most tools have distinct purposes, but several clusters overlap: ask/brief/get_index all answer questions, get_revisions/get_vintages both cover historical data, and get_provenance/get_receipts/get_citation all support verification. Descriptions clarify some boundaries, but an agent could easily misselect between ask and get_index for tariff or cost questions.

Naming Consistency4/5

The naming pattern is largely consistent verb_noun with a strong get_ prefix (get_freshness, get_vintages, run_calculator, search_calculators). However, ask and brief break the convention as bare verbs, and lookup_tariff/optimize_sourcing use different verbs, creating minor but noticeable deviations.

Tool Count4/5

17 tools is at the high end of reasonable for a broad domain covering calculators, live data series, tariffs, sourcing optimization, and verification. It feels slightly heavy but each tool has a real function, and the count is justifiable given the breadth.

Completeness4/5

The tool surface covers the full research workflow: search, lookup, calculate, optimize, verify, cite, and monitor data freshness/revisions. Minor gaps include the lack of a direct series browser (search_site covers it) and the index family being collapsed into a single get_index tool rather than exposed individually.

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