Search cards
searchSearch Slabline for graded trading cards (sports & TCG) by player, set, or year. Returns matches, each with an id to pass to fetch.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | e.g. "1986 Fleer Michael Jordan" |
searchSearch Slabline for graded trading cards (sports & TCG) by player, set, or year. Returns matches, each with an id to pass to fetch.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | e.g. "1986 Fleer Michael Jordan" |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds that results carry ids for follow-up fetch calls and that results are limited to graded cards, but says nothing about result counts, paging, or empty-result behavior.
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?
Two short sentences, no filler, with the core action front-loaded and the follow-up step ('id to pass to fetch') appended where it is immediately useful.
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 one-parameter read-only search with no output schema, the description covers what it searches, what it returns, and how to continue the workflow. The notable omission is sibling disambiguation against search_cards, which is outside the basic call mechanics but matters for correct tool 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 100% and includes an example query, so the baseline is 3. The description still adds value by enumerating the searchable dimensions (player, set, year) and indicating they can be combined, which the schema's single example does not make explicit.
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?
States a specific verb and resource ('Search Slabline for graded trading cards') and narrows scope to sports & TCG by player, set, or year. However it never distinguishes itself from the sibling tool named 'search_cards', which appears to cover nearly identical ground, so an agent cannot tell from this text alone which search to pick.
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 second sentence gives a useful workflow cue ('each with an id to pass to fetch'), which implicitly says when to chain into the fetch tool. But there is no when-not guidance and no mention of the near-duplicate sibling search_cards, which is the most important routing decision an agent faces here.
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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