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Cloudeval AI

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Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored across 45 tools

Disambiguation4/5

Most tools are clearly separated by resource domains such as projects, reports, billing, sessions, credentials, and recipes. A few pairs could be confused—capabilities_get vs identity_get and status vs auth_status vs doctor—but the descriptions provide enough context to choose correctly.

Naming Consistency4/5

The dominant pattern is <resource>_<operation>, e.g. projects_list, projects_get, sessions_search, credentials_inspect. Minor deviations like config_profiles, billing_ledger, status, and doctor break the pattern slightly, but overall the naming is predictable and readable.

Tool Count2/5

With 45 tools, this is well beyond the 15-25 range that would still feel manageable. The high count comes from many read-only subdomains, but the sheer number makes tool selection and discovery heavier than necessary.

Completeness3/5

The read-side coverage is broad: projects, reports, billing, sessions, connections, credentials, recipes, and configuration are all represented. However, the surface is almost entirely read-only with no create, update, delete, execute, or configuration-changing tools, leaving significant lifecycle gaps for agents that need to take action.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources