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calendar_list_rooms

Read-onlyIdempotent

List meeting rooms and resource calendars from your organization's cached room directory so you can find email addresses for booking and availability checks.

Instructions

List meeting rooms and resource calendars from the organization's room directory. This is a locally-cached list IT refreshes with scripts/sync_room_directory.py, not a live Workspace lookup — it may come back empty if IT hasn't synced one yet. Returns a list of {resource_id, resource_name, resource_email, building_id, floor_name, capacity, description}, unpaged. To check whether a room is actually free before booking, call calendar_get_free_busy with its resource_email. Use the room email with calendar_create_event or calendar_update_event to book. Auto-approved.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional substring filter matched against room name, building, floor, or description (case-insensitive)
reasonYesOne sentence: why are you calling this tool right now?

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv5.3.0

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare the safe read-only/idempotent profile, and the description adds substantial extra context: it is a locally-cached directory refreshed by a sync script, it is not a live Workspace lookup, it may return empty, and results are unpaged. These are exactly the operational caveats annotations cannot express.

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?

Four dense sentences, each carrying distinct payload (scope, cache caveat, return shape, next steps), with the definition front-loaded and 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 compensates by enumerating the returned fields and stating that results are unpaged. Combined with the safety annotations and full schema coverage, an agent has everything needed to call and interpret this tool.

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

Parameters3/5

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

Schema description coverage is 100%, so both the query filter and the reason parameter are already documented in the schema; the description adds no syntax or format detail beyond that. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb and resource ('List meeting rooms and resource calendars') and names the source directory, which cleanly separates it from the sibling calendar_list_calendars. An agent knows exactly what set of entities this returns.

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 routes the agent: use calendar_get_free_busy with the resource_email to check availability, and use the room email with calendar_create_event/calendar_update_event to book. This is a full when-to-use and what-next chain, not just context.

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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