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

Goes well beyond the readOnly/idempotent annotations: it discloses a recording start date (2026-09-20), warns that an empty list does not mean the target never changed pre-backfill, states the one-entry-per-measure-per-day granularity, notes same-day overwrites, and clarifies values are in the measure's own unit rather than money. These are non-obvious, decision-relevant traits an agent could not infer from structured fields.

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?

Four sentences, front-loaded with the core purpose followed by the caveats that govern interpretation. Every sentence carries information; none is filler.

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?

With no output schema, the description supplies the return-entry semantics and the two major interpretation traps, which is most of what an agent needs. It leaves unspecified what happens when no measure ID filter is supplied (all measures vs. error), a modest remaining gap.

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%, so the schema already documents page, per_page, and los_measure_id. The description only restates the measure-ID filter without adding format or pagination nuance, so the baseline of 3 applies.

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 ('List') plus the exact resource ('recorded changes to a LoS measure's target, minimum and stretch goal') and ordering ('newest first'). An agent can distinguish this from the single-record get_los_targets_history_entry by the list/change-set framing without opening the schema.

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?

It notes that results can be filtered by measure ID and explains how to interpret a result set, but does not state when to prefer this tool over siblings like list_los_measures, list_los_proposed_targets, or get_los_targets_history_entry. Usage is implied rather than directed.

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