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

Annotations already establish readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds one genuinely useful behavioral fact — that it parses full sentences rather than keywords — but says nothing about result counts, ranking, or how multiple entity types are combined in the response.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, both load-bearing: the first scopes the searchable entities, the second demonstrates the query style. Minor waste in the slightly awkward opener "Search Spot in plain words" which partly echoes the title.

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

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

For a single-parameter, read-only, non-open-world search with no output schema, this covers what an agent needs: what can be searched and in what input style. Return shape is outside the description's remit since no output schema exists and annotations confirm the safety profile.

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

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

Schema coverage is 100%, so the baseline is 3, but the description earns an extra point by demonstrating the expected input shape with two concrete natural-language examples rather than restating "what to look for." It makes clear the query should be free-form phrasing, not a structured filter string.

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

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

The description gives a specific verb and resource ("Search Spot") and enumerates the entity types it covers — events, cities, hosts, companies, venues, speakers, sponsors — which makes the breadth clear. It implicitly separates itself from get_event and pricing by being a broad discovery entry point, though it never names those siblings explicitly.

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

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

Usage is conveyed only by example ("AI events in Copenhagen this weekend", "free hackathons next month"), which strongly implies natural-language queries but never states when to prefer this over get_event for a known event or pricing for cost lookups. No exclusions or prerequisites are given.

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