Skip to main content
Glama

Inspect BCB series meaning and units

get_bcb_schema
Read-onlyIdempotent

Fetch authoritative metadata for an exact BCB SGS series, including full name, subject hierarchy, periodicity, unit, source, coverage dates, decimals, formula, and warnings. Use when interpreting a BCB series without retrieving observations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataset_idYesExact BCB dataset ID returned by search_official_data.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesSource-preserving data or schema payload for the selected official dataset.
metaYesResponse metadata and source provenance.
linksNoRelated API links.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": {},
      +  "description": "REST-aligned Open Economics response with data, metadata, links, and source provenance.",
      +  "properties": {
      +    "data": {
      +      "description": "Source-preserving data or schema payload for the selected official dataset."
      +    },
      +    "links": {
      +      "additionalProperties": {},
      +      "description": "Related API links.",
      +      "properties": {
      +        "observations": {
      +          "description": "Canonical observations endpoint for this dataset.",
      +          "type": "string"
      +        },
      +        "self": {
      +          "description": "Canonical URL for this response.",
      +          "type": "string"
      +        }
      +      },
      +      "type": "object"
      +    },
      +    "meta": {
      +      "additionalProperties": {},
      +      "description": "Response metadata and source provenance.",
      +      "properties": {
      +        "dataset": {
      +          "description": "Open Economics dataset identity when supplied."
      +        },
      +        "provenance": {
      +          "description": "Upstream source URLs, versions, timestamps, and methodology details."
      +        }
      +      },
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "data",
      +    "meta"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real context beyond that: it discloses that the payload is metadata (including warnings and coverage dates) rather than observations, which clarifies the nature of the call.

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 sentences, no filler, with the capability and its returned fields front-loaded and the usage condition second. Every clause earns its place.

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?

An output schema exists, so return values need not be explained, yet the description still surfaces the salient fields. Combined with annotations covering safety and a fully documented single parameter, nothing an agent needs to call this correctly is missing.

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 description coverage is 100% and the single dataset_id parameter is fully documented with its pattern and provenance (returned by search_official_data). The description's "exact BCB SGS series" reinforces the exact-match requirement but adds no syntax beyond the schema, so baseline 3 applies.

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 (fetch) and resource (authoritative metadata for a BCB SGS series) and enumerates the fields returned (name, hierarchy, periodicity, unit, decimals, formula, warnings). It explicitly distinguishes itself from observation retrieval, so an agent can separate it from get_bcb_series.

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 when interpreting a BCB series without retrieving observations" gives a clear use condition and implicitly contrasts with the observation-fetching sibling, though it never names get_bcb_series or states exclusions (e.g. when to prefer describe_official_dataset).

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.