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find-meeting-rooms

Read-only

Find bookable meeting rooms in your organization. Filter by name, building, floor, or minimum capacity to identify available rooms for scheduling.

Instructions

Discover bookable meeting rooms in the user's organisation via the Graph rooms endpoint (read-only). Returns room resources with displayName, emailAddress, building, floor, capacity, and bookingType — suitable for piping into create-event as attendees. Filter by query (matches name/email), building, floor, or minimum capacity. Returns empty list on personal accounts (the rooms endpoint is M365-only). Use outputVerbosity to control field count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query (room name, email)
buildingNoFilter by building name
floorNoFilter by floor number
capacityNoMinimum capacity required
outputVerbosityNoOutput detail level (default: standard)
Behavior5/5

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

Annotations already declare readOnlyHint=true; description adds behavioral detail about returning empty list on personal accounts and specific fields returned. No contradiction.

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?

Two sentences with front-loaded purpose and clear structure. Every sentence adds value without redundancy.

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?

Fully covers tool behavior, filter options, M365 limitation, and output fields despite no output schema. Provides sufficient context for an agent to select and invoke correctly.

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

Parameters5/5

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

Schema coverage is 100%; description adds meaning by explaining that query matches name/email and that outputVerbosity controls field count, enhancing the schema descriptions.

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?

Clearly states the tool discovers bookable meeting rooms via the Graph rooms endpoint, uses specific verb 'discover' and specifies resource as 'meeting rooms'. Distinguishes from sibling tools by mentioning piping into create-event.

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 (to find meeting rooms for events) and includes caveat about returning empty list on personal accounts (M365-only). Provides filters and outputVerbosity control.

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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