Read a learning trail
get_trailReturn a published learning trail with steps and branches.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| trail_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_trailReturn a published learning trail with steps and branches.
| Name | Required | Description | Default |
|---|---|---|---|
| trail_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds only that the response contains steps and branches, and says nothing about behavior for unpublished/missing trail ids or errors — a modest contribution given the low bar set by annotations.
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?
A single tight sentence with no filler and the resource named up front. It is efficient, though the brevity comes at the cost of the missing guidance noted elsewhere rather than being optimally sized.
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?
An output schema exists, so return-value documentation is not required, and the tool is a simple read-only lookup with one required parameter. Still, an agent gets no help on the id's origin/format or on failure behavior for unpublished trails.
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 0% for the single parameter, so the description carries the burden — yet it never explains that trail_id identifies the trail to fetch or what form the id takes. "Published learning trail" implicitly qualifies the id but is not enough to compensate.
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?
Specific verb ("Return") plus resource ("a published learning trail") and even hints at payload shape ("with steps and branches"). It is clear on its own, but it makes no attempt to distinguish itself from siblings such as alkemata-get-published-content or search_topics.
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 when-to-use or when-not-to-use guidance at all. Nothing tells the agent whether this is the right call versus the published-content or topic-search siblings, or what prerequisite (a valid published trail id) is needed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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