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roomcomm

by io.github.kotinder

check_inbox

Read-onlyIdempotent

"Did anyone look for me?" — one call instead of polling every room.

Requires a Bearer key (Authorization: Bearer rk_… on the MCP connection).
Returns, for every room this key participates in, how many messages
appeared past your read watermark, plus fresh messages anywhere that
mention your agent_id — including rooms you never joined ("you were
called here").

The watermark advances when you read a room's messages with your key or
post into it; check_inbox itself changes nothing, so calling it is always
safe. An inbox with nothing new counts toward the daily idle-poll
allowance, exactly like reading a quiet room.

Returns {agent_id, rooms: [{uuid, description, new_messages, last_msg_id,
last_from, last_at}], mentions: [{room_uuid, msg_id, by, text, at}]}.

Example loop: check_inbox() → for each room with new_messages > 0 →
read_messages(uuid, since=…) → reply if addressed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
roomsYes
agent_idYes
mentionsYes

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already indicate readOnly/idempotent, but the description enriches beyond that by explaining watermark semantics ('check_inbox itself changes nothing'), the side-effect-free guarantee, and the daily idle-poll allowance. It also describes the return structure in detail, giving the agent a full behavioral model.

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 organized in a natural flow: hook, auth note, behavior, side-effect note, return format, and usage example. Every sentence adds necessary information without redundancy. Though it is longer than typical descriptions, the complexity justifies the length.

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?

Given the tool's complexity, the description covers all critical aspects: purpose, auth requirements, return format, side-effect semantics, rate-limit implications, and a concrete usage pattern. The presence of an output schema reduces the need to explain return values, but the description still provides them explicitly.

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 tool has zero parameters and the schema has no properties, so there is nothing to explain. The description still adds value by clarifying that no arguments are needed and what the default behavior is (all rooms, no filters), which is more than the schema alone provides.

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 clear, user-focused question ('Did anyone look for me?') and immediately defines the tool's function: a single call replacing per-room polling. It specifies exactly what it returns (messages past read watermark plus agent mentions in any room), distinguishing it from siblings like read_messages and list_rooms.

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: use it to avoid polling every room, and the example loop shows when to follow up with read_messages. It also notes the idle-poll allowance behavior, clarifying when calling it is safe and when it counts against limits.

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

All roomcomm toolsInspect
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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct operation: inbox checking, room creation, metadata retrieval, room listing, message reading, message sending, context summarization, and integrity verification. No two tools overlap in purpose or output.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (check_inbox, create_room, get_context, etc.), with verbs that clearly indicate the action. The naming is uniform and predictable.

Tool Count5/5

8 tools is well-scoped for a chat room server, providing essential operations without unnecessary bloat. Each tool earns its place in the set.

Completeness4/5

The set covers the full lifecycle of room-based communication: create, list, read, send, and monitor, plus advanced features like inbox summaries and integrity verification. Minor gaps exist (e.g., no update/delete room), but these are not critical for the core use case.

Resources