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lambda-capture

Lambda Capture MCP Server

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macroecon_semantic_search

Read-onlyIdempotent

Find relevant macroeconomic data from central banks using semantic search. Filter by content type, source, date, and relevance score.

Instructions

Perform semantic search on Macroeconomic Data Knowledge Base from Federal Reserve, Bank of England, and European Central Bank.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
query_textYesThe search query text (e.g., "Inflation expectations"). **required parameter**.
scoreNoMinimum relevance score threshold
max_resultsNoMaximum number of results to return
typeNoFilter results by content type (text, table, or chart) or None for all
sourceNoFilter results by source institution or None for all
start_dateNoStart date for filtering results (YYYY-MM-DD). If request needs recent/latest data, set start_date nearest to today up to 3 months ago.2018-01-01
end_dateNoEnd date for filtering results (YYYY-MM-DD). if None, set to today - this is better for **most recent data**. default is today
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint. The description adds value by specifying the data sources (Federal Reserve, Bank of England, European Central Bank), which is not in annotations. It does not contradict them.

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 efficiently communicates the tool's purpose. 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?

The description covers the essential purpose and data sources. With a self-explanatory name and schema covering all parameters, it is mostly complete, though it does not mention result format or pagination.

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?

All parameters have clear descriptions in the input schema (100% coverage), so the tool description does not need to add extra parameter context. Baseline of 3 is appropriate.

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 the action (perform semantic search) and the resource (Macroeconomic Data Knowledge Base from three central banks). It is specific and distinguishes from any potential sibling tools, though none are listed.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool vs alternatives, but the context of semantic search on macroeconomic data implies its use case. Without sibling tools, the lack of explicit when-not is less critical, but still a gap.

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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