load_collection_snapshot

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

No annotations are provided, so the description carries full burden. It states the tool 'normalizes' and creates an 'immutable snapshot', implying a read-only transformation, but does not disclose potential side effects (e.g., does it modify the original file? Consume significant memory? Require specific permissions?). The term 'supported' is left undefined.

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?

Extremely concise at 8 words, but overly terse. Lacks contextual sentences that would help the agent understand usage (e.g., supported formats, snapshot benefits). Edge cases like not providing any parameter details make it under-specified rather than efficiently written.

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?

Given the complexity (5 parameters, output schema exists) and no annotations, the description is incomplete. The output schema exists but the description doesn't hint at what the snapshot contains (e.g., card objects? aggregated data?). Required distinction from 'load_deck' or 'search_library' is missing. Agent would likely misuse the tool without external knowledge.

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%, meaning the description adds zero meaning beyond parameter names and types. For example, 'mapping' parameter is described only by schema (object mapping strings to strings) with no context on what it maps (e.g., field names? column indexes?). 'allow_partial' defaults to false but the description never explains partiality. The description does not compensate for the low schema coverage.

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 uses a specific verb ('Normalize') and resource ('local collection file'), clearly stating the output ('immutable snapshot'). It distinguishes this from siblings like 'load_deck' by emphasizing the 'collection' context.

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 guidance on when to use this tool versus alternatives (e.g., search_cards, load_deck, analyze_deck). The description does not mention prerequisites (e.g., file must exist locally, supported format) or what 'supported' means.

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