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hgus107

us-macro-mcp

by hgus107

search_indicators

Search for US macroeconomic indicators by keyword without needing the exact name. Enter free-text terms like 'gas prices' or 'recession' to find matching indicators.

Instructions

Find indicators by keyword when you do not know the exact name - for example "gas prices", "wages", "mortgage" or "recession".

Args: query: Free-text words to search for across indicator names, titles and descriptions. limit: Maximum number of matches to return. Defaults to 10.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must fully disclose behavior. It explains that the search covers indicator names, titles, and descriptions, but does not mention any additional behavioral traits such as pagination, ordering, or whether it's read-only. This is adequate but not comprehensive.

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 extremely concise at 4 lines, with a clear front-loaded purpose and parameter explanations. Every sentence adds value without redundancy.

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 tool has only 2 parameters and an output schema exists, the description is complete enough. It explains the search behavior and parameters; no need to detail return values. It could mention ordering or pagination but is still adequate.

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

Parameters4/5

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

The schema coverage is 0%, so the description must add meaning. It describes 'query' as free-text words across specific fields and 'limit' as max matches with a default of 10. This adds sufficient context beyond the bare schema titles.

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 tool finds indicators by keyword and explicitly says it's for when you don't know the exact name, giving concrete examples like 'gas prices', 'wages'. This distinguishes it from sibling tools like list_indicators and get_indicator.

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 explicitly says 'when you do not know the exact name', providing clear context for when to use this tool over others. However, it does not explicitly name alternatives or state when not to use it.

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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