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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the agent knows it's a safe, non-destructive, idempotent read. The description adds the up-to-30 limit and the fact that it returns both Hebrew and English, which is useful. However, it does not disclose behavior on invalid references, response format, or edge cases, leaving some gaps beyond what annotations provide.

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 concise sentences that front-load the core purpose and then add key constraints (Hebrew and English, up to 30). Every word earns its place; there is no redundancy or vagueness. The structure is ideal for quick agent parsing.

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 bulk read tool with well-documented schema and safety annotations, the description covers the essential usage: purpose, return content, and limit. It does not detail error handling or response structure, but that is acceptable given the tool's simplicity and the presence of an output schema (which is absent here). The description is adequate for an agent to call it correctly.

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 100%, with detailed descriptions for refs (including examples) and vowels (explaining 'full' vs 'none'). The description adds no additional parameter semantics because the schema already handles it. Baseline 3 is appropriate since the schema fully documents the parameters.

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?

Clearly states the verb 'fetch' and the resource 'many short references', with examples of what that means ('verses or commentary lines'). It adds the constraint of up to 30 references and that both Hebrew and English are returned, making the purpose specific. However, it does not explicitly differentiate from sibling tools like get_text, so it misses the opportunity to distinguish itself by name.

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 when you need multiple short texts in one call, but it does not explicitly state when NOT to use it or mention alternatives. For instance, it doesn't say 'for a single text use get_text'. The bulk nature is clear, but the guidance is implicit rather than explicit.

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