search_sets

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

With no annotations provided, the description carries some burden. It discloses that this operates on cached data 'locally' (suggesting no network call, safe read operation), which is useful. However, it doesn't reveal details about sorting behavior on missing fields, default sort keys, or what happens with edge cases. The 'cached' mention adds meaningful context beyond the schema.

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?

The description is a single concise sentence that front-loads the purpose. It's appropriately minimal with no wasted words, though it doesn't add any supplementary detail that could have been included for clarity.

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?

The tool has 9 parameters, an output schema exists, and no annotations. The description only offers a single sentence. For a filter/sort tool with 9 parameters (4 nullable filters), the description should explain filter matching semantics (substring vs exact), how sorting works with defaults, and relationship to other set tools. Having a perfect-list tool with one sentence is under-specified for its complexity.

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%, so the description does not explain any of the 9 parameters. However, the parameter names are fairly self-descriptive (query, limit, sort_by, sort_order, language, release_year, has_set_code, minimum/maximum_card_count). The description adds nothing beyond what the names imply, and it doesn't explain filter semantics (e.g., substring matching, exact match, how language filtering works).

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 'Filter and sort the cached /sets response locally' with a specific verb (filter and sort) and resource (cached /sets response). It distinguishes from siblings like list_sets and get_set by noting it operates on cached data locally, which is useful context, though it doesn't explicitly contrast with get_set.

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 this is for filtering and sorting a local cached version of /sets, which hints at when to use it (when you need to filter/sort sets that have already been fetched). However, it doesn't explicitly state when to prefer list_sets vs this tool, or when not to use it, leaving the agent to infer the distinction.

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