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

Annotations already declare readOnly, idempotent, non-destructive, openWorld, so the safety profile is covered. The description adds that the guidance is 'live' (i.e., dynamically sourced), which is mild corroboration of openWorldHint but no new operational detail such as freshness, caching, or failure 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?

A single sentence with no filler; the scope ('for a databank') and timing cue are packed in without redundancy. Slightly jargon-heavy ('Frontier guidance', 'task families') but not bloated.

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?

There is no output schema, so the description must convey the return shape; it does indicate that task families and tested models come back, but gives no sense of structure, size, or pagination. For a low-complexity, one-parameter read tool this is adequate but not thorough.

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% for the single required parameter, so the description carries the burden. 'for a databank' merely restates the parameter name and adds no format, identity, or validity guidance beyond the schema's maxLength/minLength constraints.

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?

Specific verb ('Find') plus concrete resources ('task families and exact tested models') scoped 'for a databank'. It implicitly distinguishes itself from get_daystruct_validated_guidance by positioning itself as the lookup that precedes the guidance request, though it never names that sibling outright.

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?

'before requesting that guidance' gives a real sequencing cue that points at a downstream tool. However, it does not name the alternative tool or state any when-not conditions, leaving the agent to infer the workflow.

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