get_track

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

Beyond the annotations' readOnlyHint and destructiveHint, the description discloses important behavioral traits: it returns a minimal Capsule projection, omits trackDefinition and entity references, and lacks a completion field. It also explains the semantic workaround for completion checks, which is genuinely useful context an agent would not otherwise know.

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?

Every sentence earns its place: purpose first, then the exact return projection, then explicitly what is absent and how to handle those gaps through sibling tools. The description is information-dense but not bloated, and the structure makes the critical caveat about missing fields front and center.

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 fully carries the burden of explaining return values, and it does so clearly by naming the fields and the exclusions. It also covers the practical follow-up actions for entity lookup and completion checks, making it complete for an agent to decide whether and how to call this tool.

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 0%, so the description must compensate for the id parameter. It does, by clarifying that id is a track instance id used in the GET /tracks/{id} endpoint. For a single integer parameter this is sufficient semantic guidance, though it could have added a brief note on id validity or error behavior.

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 verb and resource: 'Fetch a single track instance by id.' It explicitly lists the returned fields (id, description, trackDateOn, direction, tasks), which makes the tool's purpose and scope unmistakable, and it distinguishes itself from sibling tools by stating what the response does NOT include and routing to list_entity_tracks for entity lookup.

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 description gives clear when-to-use guidance and explicit alternatives: use list_entity_tracks to find the entity a track is applied to, and rely on task statuses to check completion. This tells an agent exactly how to choose between get_track and related tools rather than leaving that decision to inference.

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