get_section_summaries

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

Adds detailed behavioral context beyond readOnlyHint: batch processing, single index load, inline error reporting, and no abort on per-ID errors.

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 sentences efficiently convey identity, relationship, and key behavior without fluff.

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?

Covers batch behavior, error handling, and correlation pattern despite no output schema; could benefit from performance or limit notes.

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 provides complete parameter descriptions (100% coverage), so description adds minimal extra meaning; only mentions order preservation and correlation IDs already in schema.

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 clearly states it is a batch version of get_section_summary for resolving metadata for many IDs, distinguishing it from single-use siblings.

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?

Explicitly describes use for batch calls and inline error handling, implying use when multiple IDs are needed, but lacks explicit alternatives or when-not-to-use.

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