cortex-cloud-docs-mcp-server
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TDQS
Scored across 6 tools
Multiple tools have unclear boundaries and overlapping purposes. The distinction between 'index_cortex_api_docs' and 'index_cortex_docs' is ambiguous, as is the difference between 'search_cortex_api_docs' and 'search_cortex_docs'. This overlap could lead to misselection by agents, especially since the descriptions don't clearly differentiate the scopes or use cases for these similar tools.
All tool names follow a consistent verb_noun pattern with snake_case, such as 'get_index_status', 'index_cortex_api_docs', and 'search_all_docs'. This predictability makes the tool set easy to parse and understand, with no deviations in naming conventions across the six tools.
With 6 tools, the count is well-scoped for a documentation server focused on indexing and searching. Each tool appears to serve a distinct operational role, such as checking status, indexing specific doc types, and searching across various scopes, making the set appropriately sized without being overly complex or too sparse.
The tool surface covers core workflows for indexing and searching documentation, with tools for status checks, indexing different doc types, and searching across scopes. A minor gap exists in lacking explicit update or delete operations for cached documents, but agents can likely work around this by re-indexing, so the coverage is largely complete for the server's purpose.