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Find a meeting time

find_meeting_time
Read-onlyIdempotent

Returns ranked meeting suggestions for structured locations and an optional date. date accepts ISO YYYY-MM-DD or a simple human day/date value such as "Thursday", "tomorrow", or "next Friday", resolved relative to the first location timezone. shareText contains formatted results. plannerUrl includes locations, up to three UTC aiSlots, legacy aiTime, and ref=mcp-bot.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "find_meeting_time"
  }
}

Input Schema

NameRequiredDescriptionDefault
dateNoOptional date to anchor the meeting search. Accepts ISO YYYY-MM-DD or simple human values such as "Thursday", "tomorrow", or "next Friday".
teamIdNoExact homepage Saved group name. A signed-in hosted agent loads that group when locations are omitted. Marketing and marketing are two groups. Without an account, returns teams_not_persisted.
locationsNo
_endUserIdNoOptional opaque per-call end-user attribution token populated by the MCP host, not the LLM. Accepts a non-PII hash or token, excluding raw email addresses, names, or platform user IDs.
countryCodesNo
durationMinutesNoOptional meeting length. Only 30, 45, or 60 are written onto the planner link as aiDuration.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine non-structured context: date resolution relative to the first location's timezone, and the composition of shareText and plannerUrl (up to three UTC aiSlots, legacy aiTime, ref=mcp-bot). That is useful, though it does not explain ordering/ranking criteria or failure behavior.

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?

Front-loaded with the primary outcome, then parameter and return details in compact sentences with no filler. The final plannerUrl sentence is dense but every clause carries information an agent may need.

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

Completeness3/5

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

With no output schema, the description does well to explain shareText and plannerUrl, but it never describes the ranked suggestions themselves — the primary return value. Given six optional parameters and no annotations about returns, this leaves a meaningful gap around what 'ranked' results look like.

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 coverage is 67%, so the schema already documents most parameters. The description does add meaning for 'date' (accepted formats plus the timezone anchor rule), which goes beyond the schema, but it says nothing about teamId fallback, countryCodes alignment, or durationMinutes constraints — those rely entirely on the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Returns ranked meeting suggestions for structured locations and an optional date'), which is far more informative than the title. It does not, however, distinguish itself from close siblings like find_host_slots, get_overlap_hours, or rank_recurring_slot, which also deal with finding times.

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

Usage Guidelines2/5

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

The description never says when to pick this tool over the many sibling scheduling tools, nor does it state exclusions or prerequisites. Usage is only inferable from the phrase 'structured locations and an optional date', which is context rather than routing 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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