get_set
One set by id (e.g. ko-sv4a) with card_count computed from the cards actually present.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
One set by id (e.g. ko-sv4a) with card_count computed from the cards actually present.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full disclosure burden. It transparently reveals an important behavioral nuance: card_count is computed from cards actually present, not stored. This goes beyond a simple 'get set' and adds value. It doesn't mention error cases or auth, but for a simple read operation that's acceptable.
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?
Exactly one sentence contains all essential information: what the tool returns, the id format example, and the notable computed property. No wasted words, perfectly front-loaded.
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?
For a simple get-by-id tool with one parameter and no output schema, the description is complete. It explains the id format and the key computational behavior. It doesn't describe the full return structure, but that is generally inferable and not critical for selection.
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. It provides a concrete example of the id format ('ko-sv4a'), which gives meaning beyond the schema's bare string type. The description explicitly ties the only parameter to the set identification, making the parameter fully understood.
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 specific verb ('get') and resource ('set'), includes an example id format, and clearly distinguishes this from sibling tools like list_sets (which lists all sets) and get_card (which operates on cards). An agent can immediately understand what this tool does.
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 implies usage for fetching a single set by id, which is self-evident given the tool name and sibling context. It doesn't explicitly state when not to use it or mention alternatives, but the purpose is clear enough that an agent would not confuse it with list_sets or get_card.
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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