get_efforts_by_segment_id

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

With no annotations, the description carries the behavioral disclosure burden. It explicitly states 'Read-only operation' and 'Requires subscription,' which are useful. However, it does not mention any rate limiting, authentication specifics, or that results are paginated via per_page. The description is not misleading but under-communicates operational traits.

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?

The description is compact but includes redundant information such as the endpoint string ('GET /segment_efforts') that is not actionable for an AI agent, and it repeats the tool's title. The structure is front-loaded with the core verb, but the extra endpoint line wastes space. It is not excessively long, but not optimally crafted.

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?

The description states what it returns ('a set'), and given the lack of an output schema, that is important. It also covers subscription and read-only. However, it omits practical context like pagination behavior, error conditions, or how the date parameters modify the result set. For a list tool with filters, more explicit behavioral context would be expected.

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 description coverage is 100%, so the parameters are fully documented in the structured schema. The description repeats the segment context but adds no semantic detail about how start_date_local or end_date_local filter results, or how per_page interacts with pagination. Thus it adds minimal value beyond the schema, warranting a baseline 3.

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 states a clear verb ('List') and resource ('segment efforts') and qualifies it with 'for a given segment.' It identifies the endpoint and mentions the return set. However, it does not explicitly differentiate from the sibling get_segment_effort_by_id, which retrieves a single effort, so the distinction 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?

No guidance is given on when to use this tool versus alternatives like get_segment_effort_by_id, get_segment_by_id, or get_explore_segments. The only usage hint is the subscription requirement, but there is no mention of date filtering, pagination, or when this list is preferable to other segment-related endpoints.

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