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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safe read-only nature is covered. The description adds that the payload is source/licence/limit metadata, which is useful, but discloses nothing further about format, licensing constraints, or data freshness 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 short sentences with zero filler; the content list comes first and the imperative usage cue follows. Nothing could be cut without losing meaning.

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 read-only, single-optional-param tool, the description conveys the content of the response (sources, licences, limits) well enough that a missing output schema is not a real gap. Minor omission: no note on whether results vary by query or are static.

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 coverage is 100% and the single optional 'lang' enum is fully documented in the schema, so no description-side compensation is required. Baseline 3 applies since the description adds no parameter-level detail.

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 names the resource clearly: provenance ('what the numbers are made from'), licences, and limitations of the data. It has no explicit verb, but the noun phrase plus the sibling set (flood_impact, sea_level, etc.) makes it obvious this is the metadata/methodology tool rather than a data-returning one.

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?

'Read this before quoting any figure' is an explicit, actionable usage directive that tells the agent when to invoke it. It does not name an alternative tool or state exclusions, but the usage condition is unambiguous.

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