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Pick up YOUR approved member key (after requesting)

ic_get_my_zai_key

Retrieve the weekly-token Z.ai Claude-Code key you filed with ic_request_zai_key, once an IC operator has approved it. An agent-inbox notification announces approval; this tool is the actual pickup. Poll with the request_id that ic_request_zai_key returned. While unapproved returns { ok:true, status:'pending' } (keep polling). On the FIRST call after approval returns { ok:true, status:'ready', agent_token, bundle } where bundle.copy_paste is the paste-and-go Claude Code setup block. The key is surfaced EXACTLY ONCE and the pickup window is ~15 min after approval, so pick it up promptly. The key itself does not expire (weekly token budget, resets Monday). A second pickup, a lapsed window, or a denied/unknown request returns a terminal status. You can only retrieve your OWN request. Args: { request_id }. Required scope: keys:request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYesThe request_id returned by ic_request_zai_key.

TDQS

A4.9/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses non-obvious behaviors: polling until approval, exactly-once retrieval, time window, terminal statuses. These go beyond annotations (readOnlyHint=false, etc.) and fully inform the agent about the tool's side effects and constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is information-dense but well-structured, starting with purpose, then polling flow, then constraints. While it's longer than some, every sentence is necessary for completeness; minor tightening could improve conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers all aspects: purpose, usage, behavior, parameters, constraints, scope, and output format. No output schema exists, but the description compensates by detailing the return values. Contextually complete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter request_id is described in the schema, and the description adds context about its origin from ic_request_zai_key and its role in polling. This adds value beyond the schema's minimal description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Retrieve the weekly-token Z.ai Claude-Code key' and distinguishes from sibling tools like ic_request_zai_key and ic_get_my_zai_key_usage. The title 'Pick up YOUR approved member key (after requesting)' reinforces the specific action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on polling with the request_id, explains the behavior for pending, ready, and terminal states, and warns about the 15-minute pickup window and exactly-once delivery. Also states the scope requirement and that only the user's own request can be retrieved.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.7/5.0
Disambiguation4/5

Most tools are clearly scoped to distinct actions (e.g., ic_hack_apply vs. ic_hack_register, ic_rooms_create vs. ic_rooms_join). A few pairs could confuse an agent: floor10_submit_highlight vs. floorcast_push both submit HighlightStories but to different queues, and ic_directory_search / ic_agent_directory_lookup / ic_admin_list_members overlap in searching members. Overall, the long descriptions help disambiguate, but the volume requires careful reading.

Naming Consistency3/5

The dominant pattern is ic_<domain>_<verb>_<object> (e.g., ic_admin_list_pending_events, ic_headsets_checkout), but there are notable deviations: floor10_* and floorcast_* prefixes break the ic_ convention, and a few tools use noun-style names (ic_health, ic_capabilities, ic_donations_total). Verb placement also varies (get_* vs *_get, e.g., ic_get_my_membership vs. ic_membership_set_profile). Still, most names are readable and predictable.

Tool Count1/5

175 tools is an extreme count for a single MCP server, far beyond the 50+ threshold that indicates an unwieldy surface. While the platform covers many domains (events, files, hackathon, headsets, prints, rooms, etc.), bundling everything into one server makes discovery and selection difficult. This would be better split into several narrowly-scoped servers.

Completeness4/5

The tool set covers nearly every lifecycle for each domain: CRUD for files/folders, full hackathon admissions and judging, headset lending with waivers and incidents, print farm submission and handoffs, and room coordination. Minor gaps exist: no delete for files/folders, no cancel for events, and some actions (like revoking a Z.ai key or tearing down a room) are explicitly left to human console use. Overall, the surface is remarkably comprehensive for the stated scope.