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Propose a schedule

propose_schedule
Read-onlyIdempotent

Read all connected calendars, identify real commitments, and return a balanced plan with rationale and workload verdict, without writing events. Review and approve before applying.

Instructions

Read every connected calendar, find the real commitments, and compute a balanced schedule around them. Writes nothing — it returns a plan with a plan_id, an explanation of why each block landed where it did, and an honest workload verdict. Show the plan to the user and get explicit approval before calling apply_schedule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoHow many days to plan. Default 7.
onlyNoPlan only these activity ids, e.g. ["dsa","exercise"].
excludeNoSkip these activity ids.
accountsNoAccount ids to include. If omitted, every account you are permitted to read is included.
timezoneNoIANA timezone for interpreting and displaying times, e.g. "Asia/Jakarta". Defaults to the server timezone.
start_dateNoFirst day to plan, "YYYY-MM-DD". Defaults to tomorrow.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, destructiveHint=false, idempotentHint), but the description adds genuine context beyond them: it writes nothing, and the response carries a plan_id, per-block explanations, and a workload verdict. It does not cover rate limits or the staleness/freshness of the plan, which is the only remaining gap.

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?

Three sentences, front-loaded with what it does, then the payload contract, then the approval workflow. Every clause carries information; nothing is redundant with the name or title.

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?

There is no output schema, so the description carries the return-value burden and does so by naming the plan, plan_id, explanations, and workload verdict. Combined with the annotation safety profile and full schema coverage, an agent has everything needed to call it and hand off to apply_schedule.

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 100%, so all six parameters (days, only, exclude, accounts, timezone, start_date) are already documented, including defaults and formats. The description adds no parameter-level meaning beyond the schema, so the baseline 3 applies.

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 chain (read calendars, find commitments, compute a balanced schedule) and explicitly frames itself as the non-writing planner, which separates it from apply_schedule in the same workflow.

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 gives explicit routing: this tool computes the plan, then 'show the plan to the user and get explicit approval before calling apply_schedule.' That names the alternative and the condition that gates it, so no inference is needed.

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