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sync-day

Get event

get_event
Read-only

Read an event: settings, every candidate start key per day (startOptions), who has answered (participants with their start keys; names may repeat), the top 10 start times by head-count (ranked), the starts EVERYONE with picks can make with their votes (voteOptions), each person's vote (votes) and decidedStart. No key needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesEvent slug from the URL, e.g. calm-otter-4821 (sync.day/calm-otter-4821)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

The readOnlyHint annotation already signals safety, and the description reinforces this by saying 'Read an event' and 'No key needed,' adding useful authentication context. It also discloses the exact set of returned fields, which goes beyond the annotation's minimal safety signal.

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 a single dense sentence that front-loads the core purpose and then packs an exhaustive list of return data into parentheticals. Every clause carries information, with no filler or repetition.

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 present, the description fully compensates by naming every significant returned component: settings, startOptions, participants, ranked top 10, voteOptions, votes, and decidedStart. It also covers the access requirement ('No key needed'), making the tool complete for a single-parameter read operation.

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?

The input schema already documents the single slug parameter with a pattern and an example, providing 100% schema description coverage. The description does not add parameter-level detail beyond what the schema provides, so the baseline score of 3 is appropriate.

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 states a clear verb ('Read') and a specific resource ('an event'), then enumerates the precise data returned: settings, startOptions, participants, ranked times, voteOptions, votes, and decidedStart. This clearly distinguishes it from sibling mutation tools like create_event, update_event, and submit_availability.

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 establishes that this is a read-only retrieval operation and adds the practical note that no key is needed. It does not explicitly name alternative tools or state when not to use it, but the read-versus-mutation contrast with the sibling tools makes the intended usage clear.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: creation, parsing, reading, updating, deciding, submitting availability, voting, and participant removal. The closest pair, submit_availability and vote_time, are separated by their inputs (startOptions vs voteOptions) and lifecycle stage.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern, e.g. create_event, get_event, update_event, vote_time, decide_time. Minor compound names like parse_event_text and remove_participant still fit the same predictable convention.

Tool Count5/5

Eight tools is well-scoped for an availability-polling server. Each tool covers a distinct part of the workflow without redundancy or excessive fragmentation.

Completeness4/5

The core lifecycle is covered: create, parse, read, update, submit availability, vote, decide, and remove participants. The only notable gap is no explicit delete/cancel event tool, but this does not break the main scheduling workflow.

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