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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

A4.4/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description adds valuable behavioral detail: no authentication key is needed, participants can have repeated names, returned start options are ranked by head-count, and only voteOptions usable by everyone with picks are returned. This meaningfully informs the agent about edge cases and response semantics that the schema and annotations do not provide.

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?

The description is front-loaded with the core action and then delivers a dense but purposeful list of returned fields. It is somewhat long and run-on, but every clause adds useful information and nothing is wasted.

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 carries the full responsibility of explaining return values, and it does so thoroughly: it names every major result group and notes the no-key requirement. For a single-parameter read tool, the agent has enough information to call it correctly and interpret the result.

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 description coverage is 100% for the single slug parameter, and the schema already explains its format and example. The description does not add parameter-level details, but it does not need to; the baseline of 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?

The description opens with a specific verb and resource, 'Read an event', and then enumerates exactly what data is returned: settings, startOptions, participants, ranked start times, voteOptions, votes, and decidedStart. This clearly distinguishes it from the mutating sibling tools like create_event, update_event, and vote_time.

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 'Read an event' framing plus the readOnlyHint annotation makes the retrieval purpose clear, and 'No key needed' tells the agent a key is not required before calling. It does not explicitly name alternatives or state when not to use it, but the context is unmistakable alongside the mutating siblings.

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

A4.5/5.0
Disambiguation4/5

Each tool targets a distinct operation, and the descriptions clearly separate organizer actions from participant actions. The only mild ambiguity is between decide_time and vote_time, but the descriptions resolve it well.

Naming Consistency5/5

All tool names consistently follow a snake_case verb_noun pattern: create_event, get_event, update_event, decide_time, vote_time, remove_participant, submit_availability, parse_event_text. There is no mixed casing or inconsistent verb style, making the set predictable.

Tool Count5/5

Eight tools is well-scoped for a scheduling and availability poll server. Each tool covers a meaningful action without redundancy, and the count feels neither thin nor bloated.

Completeness4/5

The core workflow is covered: create, read, update, availability submission, voting, deciding, participant removal, and natural-language parsing. The main gap is the lack of a delete_event or cancel operation, which is a workaround-level omission rather than a blocking one.

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