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Immersive Commons

by com.immersivecommons

Report a PICO damage / hygiene / loss incident

ic_headsets_report_damage

Files an incident on a PICO unit. Anyone with the scope can file (borrower, witness, ops staff). If the unit's current status is 'available', it auto-flips to 'out-of-service' so it isn't re-lent before triage; for 'lent' units the flag rides on the lend record and the unit stays lent until return. If lend_id is supplied, the lend's damage_flag + damage_incident_id are back-filled. Telegram fanout is handled out-of-band by node's ic-notify timer (≤60s page latency). Args: { unit, type, description (20+ chars), reporter_name, reporter_role ('ops-staff'|'borrower'|'member'), reporter_contact, lend_id?, borrower?, photo? (base64 data URL, capped ~5MB) }. Returns: { ok, incident_id }. Required scope: headsets:report_damage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesCategory of incident.
unitYesUnit id (IC1..IC8) or full serial.
photoNoOptional base64 data URL of the damage photo. Capped ~5MB raw (~6.7MB encoded).
lend_idNo
borrowerNo
descriptionYes
reporter_nameYes
reporter_roleYes
reporter_contactYes@telegram-handle or email.

TDQS

A4.5/5.0
Behavior5/5

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

The description provides detailed behavioral context beyond annotations: auto-flip to 'out-of-service' for available units, back-fill logic for lent units, Telegram fanout timing, and parameter constraints. Annotations (readOnlyHint=false, destructiveHint=false) are consistent and not contradicted.

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 well-structured with a clear first sentence stating purpose, followed by behavioral details and a parameter listing. While it is somewhat long, every sentence provides essential information without redundancy.

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

Completeness4/5

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

The description covers purpose, behavior, parameters, and return value ({ ok, incident_id }). It lacks error scenarios or rate limits, but for a mutation tool with detailed annotations and schema, it is adequately complete.

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?

With 44% schema description coverage, the description compensates by listing all parameters and adding constraints (e.g., description 20+ chars, photo base64 capped ~5MB). It explains reporter_role enum values and optional fields, adding value 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 it 'Files an incident on a PICO unit' with a specific verb and resource. It distinguishes itself from sibling tools like admin tools by focusing on incident reporting, making its purpose unambiguous.

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

Usage Guidelines4/5

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

The description specifies who can use it ('anyone with the scope') and in what scenarios (damage, hygiene, loss). While it doesn't explicitly exclude alternatives, the context makes it clear when to use this tool. Mentioning required scope adds guidance.

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