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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds genuinely new context: the required recordings:read scope and that results are paginated. It does not mention rate limits or whether transcript matching is slower, but for a read tool this is solid added value.

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-loaded with what is searched followed by return shape and auth prerequisite. No filler and nothing repeated from the schema.

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?

With no output schema, naming UserCallDTO and pagination is a reasonable signal of the return shape, and the auth requirement is stated. Minor gaps remain around result ordering and whether transcript search is best-effort, but nothing an agent needs to invoke it correctly is missing.

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 page, size, query, account, and workspace are already fully documented in the schema. The description adds only that the query matches transcript content, which mildly clarifies query semantics but nothing about paging or multi-account behavior 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?

States a specific verb (free-text search) and resource (calls), and enumerates the searched fields (name, description, attendees, transcript) plus the return type. It does not explicitly distinguish itself from hub_list_calls or hub_count_search_calls, so an agent must infer the difference from the word 'search'.

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 only implied: 'free-text search' suggests use when you have keywords, and the schema note 'Empty string lists all' hints at the list-like fallback. There is no explicit when-to-use or when-not, and no routing to hub_list_calls or hub_count_search_calls for the count-only or unfiltered cases.

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