ic_admin_reject_ownershipDrop a pending founder-binding request from the queue (no bind) with an optional reason, and write an audit entry. Args: { id, reason? }. Returns { ok, id, slug? }. Required scope: admin:ownership_review.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The pending ownership request id to reject. | |
| reason | No | Optional moderator note, recorded in the audit log. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide destructiveHint=true, readOnlyHint=false, idempotentHint=true. The description adds that it drops a request and writes an audit entry, aligning with these hints. It does not contradict annotations. However, it lacks details like whether the action is reversible or triggers notifications. The addition of audit trail is useful but not extensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and includes essential information: action, parameters, return shape, and required scope. However, it redundantly lists parameters in the text when the schema is present. Could be more concise by omitting the explicit 'Args' line.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description provides the return shape '{ ok, id, slug? }' and mentions required scope. It covers the key inputs, outputs, and behavioral effects. However, it does not explain post-action effects like notifications or whether the request is permanently deleted. For a simple rejection, it is fairly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for both parameters. The description restates 'Args: { id, reason? }' but adds no new semantic meaning beyond what the schema already provides. The schema already describes 'id' and 'reason' adequately, so the description adds minimal value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action: 'Drop a pending founder-binding request from the queue (no bind) with an optional reason, and write an audit entry.' It uses specific verbs ('drop', 'reject') and resource ('pending founder-binding request'). The title 'Reject a founder-binding claim' also clarifies purpose. This distinguishes it from sibling tools like ic_admin_approve_ownership.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for rejecting a pending ownership request and specifies required scope 'admin:ownership_review'. However, it does not explicitly state when not to use or compare with alternatives like ic_admin_approve_ownership. The sibling list includes many admin tools, but the description could be more explicit about context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.