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Immersive Commons

by com.immersivecommons

Get one Immersive Commons presentation by session (public)

ic_presentations_get
Read-only

Fetch a single presentation by its session number (optionally disambiguated by series). Session numbers are VCN-only; non-VCN talks (ClawCamp, standalone Talks) have no session_no — discover those via ic_presentations_list (filter series='ClawCamp'). No auth required. Returns the full ingest-friendly record. Args: { session_no: number, series?: string }. Returns: { scaffold, presentation: { session_no, series, title, date, format, public_url, deployed, speaker?, event?, summary?, content? } } where content is the talk's full curated llms.txt distillation (present for decks that ship one — read it instead of fetching the deck). On a miss, an error listing the available { series #session_no } entries. If session_no alone is ambiguous across series, the newest match wins — pass series to target one exactly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seriesNoOptional series to disambiguate when the same session_no exists in multiple programs (e.g. a VCN #1 and a ClawCamp #1).
session_noYesThe session number within its series (from ic_presentations_list).

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true (safe read). The description adds useful behavioral context: no auth required, returns full record, includes content field as a distillation, error behavior with listing available entries, and ambiguity resolution (newest wins). This goes beyond annotations.

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 front-loaded with the main purpose. It includes details on return format, error handling, and related tool usage without being overly verbose. Could be slightly tighter but each sentence adds value.

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?

Despite no output schema, the description fully explains the return object fields, error behavior, and the nature of the content field. It covers all essential aspects for correct invocation and understanding.

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

Parameters4/5

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

Input schema already has 100% coverage with descriptions for both parameters. The description adds semantic context: session_no is VCN-only, series disambiguates across programs, and explains ambiguity resolution. This enhances understanding beyond the schema.

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 the tool fetches a single presentation by session number, with optional series disambiguation. It distinguishes from sibling ic_presentations_list, which is for listing and discovering non-VCN talks. The verb 'fetch' and resource 'single presentation' are specific.

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?

Explicitly states when to use this tool (VCN-only talks with session_no) and when to use ic_presentations_list (non-VCN talks like ClawCamp). Also mentions no auth required, which is helpful for selection.

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.

Resources