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search_events

Search for tech events, startup meetups, AI events, and more across cities. Searches event names, hosts, organizers, and tags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoFilter by city key (e.g. 'bengaluru', 'sf', 'new-delhi')
limitNoMax results (default 20, max 50)
queryYesSearch query (e.g. 'AI meetup', 'hackathon', 'startup dinner')
to_dateNoEnd date filter (ISO 8601)
from_dateNoStart date filter (ISO 8601, e.g. '2026-05-20')

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full responsibility for behavioral disclosure. It reveals that the tool searches event names, hosts, organizers, and tags, but does not mention read-only nature, authentication requirements, rate limits, result format, or any other behavioral traits. This lack of detail is a significant gap for a search tool with no output schema.

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 exceptionally concise at two sentences, with the main action ('Search for...') front-loaded. Every word contributes to understanding the tool's purpose, and there is no fluff or redundancy.

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?

The schema covers parameter details well, but the description lacks any mention of return value structure, pagination, or guidance on selecting this tool over siblings. Given the tool has five parameters and no output schema, the description could reasonably be more complete, though it is not severely deficient.

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?

While the input schema already provides descriptions for all five parameters (100% coverage), the description adds meaning by specifying what fields the query searches (event names, hosts, organizers, tags). This clarifies the semantics of the 'query' parameter beyond the schema's generic 'Search query' description, earning a score above baseline.

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 clearly identifies the tool as a search operation for tech events, specifying the resource (events) and scope (across cities, searching names/hosts/organizers/tags). However, it does not explicitly differentiate from sibling tools like get_upcoming_events or list_cities, so it falls short of a 5 on this dimension.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus the siblings (get_upcoming_events, list_cities). There is no mention of alternative tools or scenarios where this search would be preferred, leaving the agent to infer usage from the tool's name alone.

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

A4/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: list_cities provides an overview of available cities, get_upcoming_events shows chronological events for a specific city, and search_events finds events by keyword across cities. There is no meaningful overlap or ambiguity between them.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: list_cities, get_upcoming_events, and search_events. The verbs are appropriate and the nouns clearly indicate the resource being acted on.

Tool Count5/5

With only 3 tools, the server is well-scoped for event discovery. Each tool serves a distinct purpose and the count is appropriate for the domain, avoiding unnecessary bloat while providing essential functionality.

Completeness5/5

The tool set covers the core workflow of discovering events: listing cities to see what's available, getting upcoming events for a chosen city, and searching for events by topic or keyword. There are no obvious gaps for a read-only event discovery service.