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h-lu

Paper Search MCP Server

by h-lu

search_repec

Search the RePEc/IDEAS economics bibliography with 4.5M+ items, including working papers from NBER, Federal Reserve, and top journals. Filter by year, series, document type, and sort by relevance or citations.

Instructions

Search economics papers on RePEc/IDEAS - the largest open economics bibliography.

USE THIS TOOL WHEN:
- Searching for ECONOMICS research (macro, micro, finance, econometrics)
- You need working papers from NBER, Federal Reserve, World Bank, etc.
- You want to find papers by JEL classification
- Searching for economic policy analysis

COVERAGE: 4.5M+ items including:
- Working Papers: NBER, Fed banks, ECB, IMF, World Bank
- Journal Articles: AER, JPE, QJE, Econometrica, etc.
- Books and Book Chapters

SEARCH SYNTAX:
- Boolean: + for AND, | for OR, ~ for NOT (e.g., 'money ~liquidity')
- Phrase: use double quotes (e.g., '"monetary policy"')
- Author(Year): e.g., 'Acemoglu (2019)' or 'Kydland Prescott (1977)'
- Synonyms: automatic (labor=labour, USA=United States)
- Word stemming: automatic (find matches finds, finding, findings)

LIMITATION: RePEc provides metadata only, not full PDFs.
PDFs are hosted at original institutions (often freely available).

Args:
    query: Search terms with optional boolean operators.
    max_results: Number of results (default: 10).
    year_from: Optional start year filter (e.g., 2020).
    year_to: Optional end year filter (e.g., 2025).
    search_field: Where to search, one of:
        - 'all': Whole record (default)
        - 'abstract': Abstract only
        - 'keywords': Keywords only
        - 'title': Title only
        - 'author': Author only
    sort_by: How to sort results, one of:
        - 'relevance': Most relevant (default)
        - 'newest': Most recent first
        - 'oldest': Oldest first
        - 'citations': Most cited first
        - 'recent_relevant': Recent and relevant
        - 'relevant_cited': Relevant and cited
    doc_type: Document type filter, one of:
        - 'all': All types (default)
        - 'articles': Journal articles
        - 'papers': Working papers (NBER, Fed, etc.)
        - 'chapters': Book chapters
        - 'books': Books
        - 'software': Software components
    series: Institution/journal series to search within, one of:
        - Institutions: 'nber', 'imf', 'worldbank', 'ecb', 'bis', 'cepr', 'iza'
        - Federal Reserve: 'fed', 'fed_ny', 'fed_chicago', 'fed_stlouis'
        - Top 5 Journals: 'aer', 'jpe', 'qje', 'econometrica', 'restud'
        - Other journals: 'jfe', 'jme', 'aej_macro', 'aej_micro', 'aej_applied'

Returns:
    List of paper dicts with: paper_id (RePEc handle), title, authors,
    abstract, published_date, url, categories (JEL codes).

Example:
    search_repec('inflation', series='nber')  # Search NBER only
    search_repec('causal inference', series='aer', sort_by='newest')
    search_repec('machine learning', series='fed', year_from=2020)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo
year_fromNo
year_toNo
search_fieldNoall
sort_byNorelevance
doc_typeNoall
seriesNo
Behavior4/5

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

No annotations provided, so description carries full burden. Discloses limitation 'RePEc provides metadata only, not full PDFs.' Describes search syntax and coverage but does not mention authentication or rate limits. Honest about return type.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with sections (USE THIS TOOL, COVERAGE, SEARCH SYNTAX, LIMITATION, Args, Returns, Example). Front-loaded with purpose. Slightly verbose but each section adds value.

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?

Given 8 parameters (0% schema coverage), no output schema, and no annotations, the description is remarkably complete. Covers all parameters, return format, and usage examples. No gaps for an agent to infer.

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

Parameters5/5

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

Schema description coverage is 0%, so description compensates fully. Provides detailed parameter descriptions, defaults, enum-like options for search_field, sort_by, doc_type, and series. Even includes example calls.

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?

Description clearly states it searches economics papers on RePEc/IDEAS. Lists specific coverage (NBER, Fed, World Bank, top journals) and distinguishes from sibling tools (e.g., search_arxiv, search_pubmed) by discipline focus.

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?

Has an explicit 'USE THIS TOOL WHEN' section listing four conditions (economics research, working papers, JEL classification, policy analysis). Does not explicitly state when not to use, but sibling tool names imply alternatives for other fields.

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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