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AnthonyPuggs

ausecon-mcp-server

by AnthonyPuggs

Get Derived Series

get_derived_series
Read-onlyIdempotent

Retrieve a derived economic series from Australian macroeconomic data. Filter results by concept name and optional date range or observation count.

Instructions

Read-only retrieval for the narrow transparent derived series layer.

Date bounds accept YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD and are normalised to the derived series frequency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesDerived concept name.
startNoOptional analyst-friendly bound for a derived series: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Bounds are normalised to the derived series frequency.
endNoOptional analyst-friendly bound for a derived series: YYYY, YYYY-QN, YYYY-SN, YYYY-MM, or YYYY-MM-DD. Bounds are normalised to the derived series frequency.
last_nNoOptional positive observation count limit.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataYesSource, provenance, cache, and retrieval metadata for this response.
seriesYesSeries descriptors keyed by series_id.
observationsYesLong-form observations keyed by date and series_id.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true. The description adds value by specifying date bounds normalization to frequency, which is a behavioral trait beyond annotations. No contradictions.

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?

Two concise sentences front-loading the core purpose with no wasted words.

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 output schema and annotations present, the description covers retrieval purpose and date normalization. However, it could briefly explain what a 'derived series' is for completeness.

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?

Schema coverage is 100%, so the schema fully documents parameters. The description only restates date format details already in the schema, adding minimal extra meaning.

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 'Read-only retrieval for the narrow transparent derived series layer,' specifying the verb (retrieval), resource (derived series layer), and scope (narrow transparent). It distinguishes itself from siblings like 'get_economic_series' by referencing the derived series layer.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives (e.g., 'get_economic_series'). No exclusions or context for selection are given.

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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