Skip to main content
Glama

Event details

event_details
Read-onlyIdempotent

One Miami event by name (e.g. "Art Basel", "Boat Show", "Ultra", "Miami Open", "Formula 1"): dates, venue, attendance, what hotels cost those nights against a quiet night, points or cash, the closest hotels, and links.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "event_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
queryYesThe event name or part of it

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the description's contribution is the return content, which it lays out item by item — valuable since there is no output schema. It omits edge behavior such as no-match or multi-match handling, which keeps it short of a 5.

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?

A single front-loaded sentence names the resource first and then lists outputs, so the agent reads the essential clause immediately. The long colon-delimited enumeration is dense but every item conveys real return-value information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only lookup with no output schema, the description gives enough: what it returns and what the input looks like. Only the failure/ambiguity path is unaddressed, which is a minor gap at this complexity level.

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% and the single parameter is documented as 'event name or part of it', so the baseline applies. The parenthetical examples of event names add a little flavor about acceptable input style, but the description does not otherwise clarify matching, casing, or partial-match semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb+resource: fetch one Miami event by name, and it enumerates the payload (dates, venue, attendance, hotel-cost comparison, points/cash, closest hotels, links). That clearly separates it from list-style siblings such as whats_on or things_to_do, though it never names an alternative explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer it should call this once it already knows an event name. There is no explicit 'use X instead when you want to discover events' routing, and no note on what to do if the query is ambiguous or matches nothing.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources