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lbruce-wq

Development Indicators MCP

by lbruce-wq

get_observations

Retrieve official development observations for specified series and countries, preserving metadata, citations, and warnings.

Instructions

Retrieve official observations while retaining metadata, citations and warnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_yearNo
series_refYes
start_yearNo
latest_onlyNo
country_codesYes
include_originalNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNo
metadataYes
warningsNo
observationsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.1

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It communicates that this is a read-only retrieval operation and that metadata, citations, and warnings are preserved in the output. However, it does not address permissions, errors, pagination, or how the various options affect behavior.

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 a single concise sentence that front-loads the core action and adds a useful qualifier. Every word contributes meaning, and there is no redundant or filler content.

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

Completeness2/5

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

Although an output schema exists, the tool has six parameters, two required, and no annotations. The description does not explain how to construct a valid request or which parameters matter for which use cases, so it is not complete enough for reliable tool invocation.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. It provides no explanation of series_ref, country_codes, start_year, end_year, latest_only, or include_original, leaving the agent to infer their meaning entirely from names and types.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific action ('Retrieve official observations') and a distinguishing feature ('retaining metadata, citations and warnings'). It is not a tautology and conveys what the tool returns, though it does not explicitly contrast with sibling tools like compare_observations.

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?

There is no explicit guidance on when to use this tool versus alternatives such as compare_observations or search_indicators. The phrase 'official observations' implies a use case, but the description provides no when-to-use or when-not-to-use guidance.

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