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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so safety is covered. The description adds genuine behavioral context beyond that: the data is semestral, begins in the 2nd semester of 2016, and covers the 31-agglomerate urban total only (not a national or per-agglomerate breakdown), which affects interpretation. Return shape is covered by the output schema.

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 dense sentence that front-loads the metric, then frequency, temporal coverage, and geographic scope. No filler, no redundancy, and everything an agent needs for a first pass is in the opening clause.

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 two-parameter, read-only series tool with a full output schema and complete parameter descriptions, the definition is nearly sufficient. The only material gap is the absence of any routing guidance relative to the many sibling indicator tools, plus no note on units beyond 'porcentaje' (already given) or on geographic granularity limits beyond the 31-agglomerate note.

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%, and both start and end already document the 'AAAA' / 'AAAA1S'/'AAAA2S' formats and the empty-equals-full-series default. The description adds only indirect meaning by stating the series is semestral from 2016, which helps an agent choose sensible bounds but is not tied to the parameters explicitly. Baseline 3 is appropriate.

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 resource and metric: percentage of persons and households below the poverty and indigencia lines, with frequency (semestral), series start (2nd semester 2016), and coverage (31 urban agglomerates, EPH). An agent knows exactly what data this returns. It does not, however, name or differentiate itself from siblings such as latest_indicators or compare_series, which likely surface overlapping indicators.

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?

Usage is only implied by the subject matter — an agent can infer it should call this for poverty/indigencia figures. There is no explicit when-to-use statement, no mention of when to prefer latest_indicators for a single current value or compare_series for cross-indicator comparison, and no stated prerequisites.

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