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

Beyond the readOnly/idempotent annotations, the description reveals meaningful behavior: default 25 and maximum 100 results, soonest-first ordering, a per-record verification date, and exact semantics of an empty result. This materially improves an agent's ability to interpret output.

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?

Three short sentences front-load the core purpose and then add limit, ordering, freshness, and empty-result semantics in order of importance. Every sentence earns its place with no repetition or filler.

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 read-only, optional-parameter search tool with no output schema, the description covers what an agent needs before calling: filters, result cap, ordering, freshness marker, and empty-result meaning. It is self-contained enough to select and invoke correctly.

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 every parameter is already documented with type, example, and default. The description restates limit behavior and loosely groups filters into 'city, country, topic or date window' but does not add meaning beyond the schema.

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 opens with a specific action ('Find upcoming B2B conferences') and names the key search dimensions, so an agent knows exactly what resource is being searched. It does not explicitly contrast itself with sibling tools like get_conference, company_events, or the generic search, so full sibling differentiation is left to inference.

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?

The intended use is clear from 'Find upcoming B2B conferences by city, country, topic or date window,' and the last sentence tells the agent how to interpret an empty result. However, it gives no guidance about when to prefer search_conferences over related siblings or when not to use it.

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