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Scored across 24 tools
Each tool has a highly specific purpose within the citation intelligence domain. For example, 'check_citations' returns cited URLs, 'citation_evidence' extracts relevant snippets, 'am_i_cited' checks domain presence across queries, and 'predict_citation' scores citation likelihood. Overlaps are minimal and clearly distinguished by function.
Most tool names follow a verb_noun or noun_verb pattern with underscores (e.g., 'check_citations', 'audit_sitemap', 'citation_evidence'). However, there are slight inconsistencies such as 'am_i_cited' using a full sentence pattern and 'llms_txt_generator' mixing a file extension. Overall, the naming is clear and predictable.
With 24 tools, the server covers a broad yet focused domain of citation intelligence. Each tool adds distinct value, from basic citation checking to competitive analysis, schema auditing, and trend tracking. The count is well-scoped for comprehensive coverage without unnecessary redundancy.
The tool suite provides end-to-end coverage for AI citation intelligence: checking citations, predicting likelihood, auditing crawler access, analyzing sitemaps, tracking trends, and even fixing structured data. Notable integrations like Google Search Console (gsc_citation_gap) and Wikipedia mentions are included. No obvious gaps for the stated purpose.
