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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds the useful "time-series" characterization and filter axes, but says nothing about pagination behavior or data volume, even though the schema notes automatic all-page fetching.

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 short sentences, front-loaded with the resource and followed by the filter summary; nothing is padded. It is slightly too terse to be a 5 given the tool has seven filter parameters.

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 read-only list tool with complete annotations and full schema coverage, the description is minimally adequate. With no output schema, it could say something about the shape or pagination of results, but nothing an agent needs to invoke it is missing.

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 each of the 7 parameters is already documented inline. The description merely names the same filter axes (measure, period type, date range, auto/manual) without adding format or semantic detail, which matches the baseline of 3 when the schema does the heavy lifting.

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?

States a specific verb+resource ("List LoS measurement values") and clarifies the data shape with "(time-series)", which distinguishes it from the measure-definition siblings. It does not, however, differentiate itself from get_los_measurement or list_los_measures, leaving the agent to infer the distinction.

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 enumerates filter dimensions, which implies the retrieval use case, but gives no explicit when-to-use vs when-not or naming of alternatives such as get_los_measurement for a single record. Usage is inferable rather than stated.

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