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Read a brokered print handoff (either party)

ic_prints_handoff_status
Read-only

Read one staged handoff by id, or list the handoffs staged in your name. Readable ONLY by the two parties: the brokering service (matched on the exact token that created it) or the member it names. Not readable by operators or farm managers — a handoff is a private term between two parties until it becomes a print job, and the job then carries its own authorization. A pending handoff past its expiry reports as 'expired'. Once confirmed, print_job_id is the pj_ id to follow with ic_prints_get. Args: { handoff_id? } — omit to list the handoffs naming you (member view, newest first). Returns: { ok, handoff } or { ok, count, handoffs }. Required scope: prints:read (ft-member+).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
handoff_idNoA specific ph_... id. Omit to list handoffs staged in your name.

TDQS

A4.9/5.0
Behavior5/5

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

The readOnlyHint annotation already marks the operation safe, and the description goes further by disclosing access-control rules, expiry behavior ('A pending handoff past its expiry reports as expired'), and the relation to print jobs. It also notes the required scope prints:read, which is valuable auth context beyond the annotation.

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

Conciseness5/5

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

The description is front-loaded with the purpose, followed by tight, information-dense sentences covering access control, expiry, confirmation follow-up, parameters, returns, and required scope. Every sentence contributes unique operational detail, and there is no filler.

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?

With no output schema, the description explicitly lists both possible return shapes and the required scope. It also covers authorization, lifecycle transitions (expired, confirmed), and offers a pointer to the next tool, making the description self-sufficient for selecting and invoking the tool correctly.

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?

The schema already provides 100% coverage for handoff_id, including the omit-to-list behavior. The description adds the return shape (`{ ok, handoff }` or `{ ok, count, handoffs }`) and the 'newest first' ordering, which are not present in the schema and meaningfully clarify what happens when the parameter is omitted.

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 opens with a specific verb and resource: 'Read one staged handoff by id, or list the handoffs staged in your name.' It clearly distinguishes this from the related getter ic_prints_get by stating that once confirmed, print_job_id should be followed with ic_prints_get.

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?

It explicitly says when to use the tool (read by id or list by omitting the id) and provides an alternative (`Once confirmed, print_job_id is the pj_ id to follow with ic_prints_get`). It also states when not to use it by limiting readability to the two parties and noting operators/farm managers cannot read handoffs.

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.