Skip to main content
Glama

get_citation

Get a ready-to-paste citation for an MFG Calcs dataset — including, for vintage-tracked datasets, the ?asOf= URL that returns the numbers exactly as they read on the access date, so the citation stays checkable after revisions instead of rotting. Carries a stable site identifier rather than a DOI; none has been minted for this collection yet, and the payload says so. Call with no dataset for the catalogue of citable datasets. Same engine as /api/cite.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
datasetNoDataset id from the catalogue; omit to list what is citable
accessedNoISO date (YYYY-MM-DD) the data was accessed; defaults to today

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It goes beyond the schema by explaining the vintage-tracked asOf URL, the stable site identifier instead of a DOI, and notes that the payload indicates this lack of DOI. It does not mention error conditions or rate limits, but it discloses the key behavioral traits.

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?

The description is efficiently structured, leading with the core purpose and then layering essential context about the asOf URL and DOI absence. Every sentence earns its place, and the 'Same engine as /api/cite' note is a helpful reference without being redundant.

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 lack of an output schema, the description adequately explains what the tool returns (a citation, possibly with an asOf URL, and the catalogue when no dataset is provided). It doesn't detail the exact citation format, but for a citation tool this is a standard and acceptable gap. The description is sufficient for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides 100% coverage of both parameters, so the baseline is 3. The description adds minor semantic value by stating that 'dataset' comes from the catalogue and that omitting it returns the catalogue, which helps interpretation but doesn't significantly exceed what the schema describes.

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 it 'Get a ready-to-paste citation for an MFG Calcs dataset', identifying the specific verb and resource. It further distinguishes itself from siblings by mentioning the asOf URL behavior and the lack of a DOI, making its purpose unambiguous even without examining the schema.

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?

The description gives explicit guidance on when to omit the dataset parameter to get the catalogue of citable datasets, which is a clear usage context. It doesn't explicitly mention when not to use this tool, but the sibling tools have distinct purposes (e.g., ask, get_calculator), so the appropriate context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.

Resources