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mjucius

Cozi MCP Server

by mjucius

Partial-update an appointment

update_appointment

Partially update a Cozi calendar appointment by providing only the fields you want to change; the tool fetches existing details and merges your modifications.

Instructions

Partial-update an appointment. The Cozi PUT semantics replace ALL fields, so this tool first fetches the existing appointment from the (year, month) page and merges your changes — only fields you pass are altered. To switch a timed appointment to all-day pass all_day=true; to switch to timed pass new start/end.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appointment_idYes
yearYes
monthYes
subjectNo
startNo
endNo
attendeesNo
all_dayNo
notesNo
locationNo
Behavior4/5

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

With no annotations, the description fully discloses the PUT semantics and fetch-and-merge behavior, preemptively warning users about Cozi's full replacement approach. It also details how to toggle all-day. It could be improved by mentioning error conditions or authorization needs, but the core behavior is transparent.

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 extremely concise—two sentences that are front-loaded with the purpose. Every sentence adds value; there is no fluff or repetition.

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?

Given the complexity (10 parameters, no output schema, no annotations), the description does not fully cover all necessary context. It explains the merge behavior and all-day toggle but omits details on error handling, prerequisites (like how to obtain appointment_id), and the response format. It is adequate for a simple use case but lacks completeness for a robust tool.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only explains the 'all_day' parameter and related 'start'/'end', but provides no guidance on other optional parameters like 'subject', 'attendees', 'notes', 'location'. The required parameters are implicitly explained (fetch from year/month page), but many parameters remain undocumented.

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 clearly states the tool performs a partial update on an appointment, distinguishing it from create_appointment and delete_appointment by explaining its unique merge behavior. The verb 'Partial-update' and resource 'appointment' are specific.

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

Usage Guidelines4/5

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

The description explains when to use this tool (to update an appointment) and provides guidance on switching between timed and all-day appointments. However, it does not explicitly state when not to use it or contrast it with alternatives like create_appointment for new items.

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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