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MisakaNet

by Ikalus1988
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Python

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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

A4.4/5.0

Scored across 9 tools

Disambiguation3/5

Several tools have overlapping retrieval purposes: misakanet_memory_context, misakanet_preflight, and misakanet_search all match text against the lesson corpus, with the proactive pair (memory_context vs preflight) differing mainly in task-start context vs risk-check emphasis. Similarly, misakanet_submit_intake and misakanet_write_lesson both write to the contribution queue, distinguished only by completeness. The long descriptions help, but an agent could still easily pick the wrong tool.

Naming Consistency4/5

All tools share the misakanet_ prefix and snake_case, with most using a verb_noun pattern (get_lesson, search, submit_intake, register). Two names deviate: memory_context and usage_status are noun phrases rather than imperatives, creating a minor inconsistency. Overall the convention is predictable and readable.

Tool Count5/5

Nine tools cover the domain well: retrieval (search, get_lesson), proactive context (memory_context, preflight), contribution (submit_intake, write_lesson), usage feedback, registration, and quota checking. The size feels appropriate for a failure-lesson server — neither thin nor bloated.

Completeness4/5

The core lifecycle is covered: discover lessons, fetch details, get proactive warnings, submit missing lessons/intakes, and manage registration/quota. The main gap is that the search tool references a closed vocabulary of domains from data/domains.json but provides no way to list those domains, which could leave agents guessing. No update/delete for lessons exists, but that is likely admin-side functionality.

Maintenance

ActivityActive
ResponsivenessResponsive

Resources