Single tool 'aea_search' has reasonable naming and detailed description, but schema representation is problematic. The input schema is visible in the rubric data as a dict with type declarations, but parameter descriptions are embedded in the docstring rather than formally in the schema structure. Output schema is completely undocumented, the function returns dict but no structure is specified. No error handling guidance, no parameter validation rules, no enum constraints despite clear valid values (journal_list has known options). The tool accepts a list parameter without type constraints or validation. Critical gaps in schema formality and error guidance lower the score significantly.

• Document output schema: Return type dict should specify exact fields (e.g. {journal_code: [article_object]}) with per-article structure (title, authors, doi, url, abstract).
• Convert journal_list to enum constraint: journal_list: list[enum('aer', 'aeri', 'app', 'pol', 'mac', 'mic')] with description 'One or more journal codes. Defaults to aer and aeri if omitted.'
• Add parameter bounds: max_search: int with description 'Maximum results across all journals (1-500). Defaults to None (no limit) but speeds search when set. Limit applies across all journals combined, not per journal.'
• Remove example code from description. Replace >>> examples with: 'Example: To search for monetary policy in AER and Macroeconomics journals, specify journal_list=["aer", "mac"] and q="monetary policy".'
• Add error guidance. Document: 'Returns empty list for a journal if no results found or journal code invalid. If all journals return empty, consider broadening search terms or checking journal codes against the list in description.'
• Specify output structure in docstring: 'Returns: dict with keys matching journal codes in journal_list, each containing list of articles with fields: {doi, title, authors, year, url}.'
• Validate journal_list inside function: raise ValueError with message 'Invalid journal code: {code}. Must be one of: aer, aeri, app, pol, mac, mic.' This enables LLM self-correction on retry.