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Get an event

event_get
Read-only

Get one event's full public profile by slug: name, dates, address, topic, description, status and city.

Call this once you have a slug (from event_list or search) and need the details. It does not include the schedule, FAQ or nominations — use event_schedule, event_faq and event_nominations for those.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
event_slugYesSlug of the event, e.g. 'ai-build-day'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds context beyond annotations by clarifying the tool returns a public profile, listing the fields included, and noting what is excluded. It doesn't discuss auth or rate limits, but for a read-only public getter this is acceptable.

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?

Two tightly packed sentences: the first defines purpose and output fields, the second provides usage context and exclusions. Every sentence earns its place with no filler or redundancy.

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?

For a simple one-parameter read-only tool, the description covers all needed context: what it returns, where the slug comes from, and what it does not return (with alternatives). Since there is no output schema, the field list in the description adequately fills that gap.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining where the slug comes from ('from event_list or search'), which helps the agent obtain the correct parameter value. It does not repeat the schema's own slug example.

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 specific verb and resource: 'Get one event's full public profile by slug' and enumerates the returned fields (name, dates, address, topic, description, status, city). It also distinguishes itself from siblings by explicitly listing what it does not include and naming alternative tools.

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?

The description gives explicit when-to-use guidance: 'Call this once you have a slug (from event_list or search) and need the details.' It also states exclusions and directs to alternatives: 'It does not include the schedule, FAQ or nominations — use event_schedule, event_faq and event_nominations for those.'

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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