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

Annotations already establish readOnly, idempotent, closed-world safety, so the description correctly spends its budget on data semantics instead: how current_milestone_id is derived per track (first open one in list order) and that every track has its own current milestone. That is genuinely useful context an agent could not get from the annotations. It stops short of describing ordering or what 'kind' and 'pace' enumerate.

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?

Dense and jargon-heavy, and it is not front-loaded: the first sentence dives into field-level detail before establishing what the tool returns as a whole. Nothing is obviously redundant, but a one-line purpose statement ahead of the field notes would earn its place.

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, the description carries the full burden of explaining return shape, and it covers the track/current-milestone logic well. However, it never states the top-level structure (single object vs. list), milestone ordering, or the allowed values of 'kind' and 'pace', leaving gaps for a zero-input tool whose entire value is its output.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description's space is well used on return semantics rather than phantom inputs.

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 text reads as a return-value spec ('Milestones with kind, progress, pace and their steps') rather than a statement of what the tool does; there is no verb such as 'retrieve' and 'path' is never defined. An agent can infer it fetches milestones/tracks, but it cannot distinguish this from get_plan, get_goal, or next_steps from the description alone.

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 on when to call this versus sibling readers like get_plan, get_planning_context, or next_steps. The 'With tracks… / Without tracks…' clauses describe how to interpret output, not when to choose this tool, so selection is left entirely to inference from the name.

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