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ibge_malhas_tema

Get thematic geographic meshes from IBGE for themes: biomes, Legal Amazon, semi-arid, coastal zone, border strip, metropolitan regions, and RIDE. Choose output format (GeoJSON, TopoJSON, SVG), resolution, and quality.

Instructions

Gets thematic geographic meshes from IBGE.

Available themes:

  • biomas: Brazilian biomes (Amazon, Cerrado, Atlantic Forest, Caatinga, Pampa, Pantanal)

  • amazonia_legal: Legal Amazon area

  • semiarido: Semi-arid region

  • costeiro: Coastal zone

  • fronteira: Border strip

  • metropolitana: Metropolitan regions

  • ride: Integrated Development Regions

Biome codes:

  • 1: Amazon

  • 2: Cerrado

  • 3: Atlantic Forest

  • 4: Caatinga

  • 5: Pampa

  • 6: Pantanal

Examples:

  • All biomes: tema="biomas"

  • Amazon biome: tema="biomas", codigo="1"

  • Legal Amazon: tema="amazonia_legal"

  • Metropolitan regions: tema="metropolitana"

  • With municipalities: tema="biomas", resolucao="5"

  • List themes: tema="listar"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
temaYesTema da malha: - biomas: Biomas brasileiros (Amazônia, Cerrado, etc.) - amazonia_legal: Área da Amazônia Legal - semiarido: Região do semiárido - costeiro: Zona costeira - fronteira: Faixa de fronteira - metropolitana: Regiões metropolitanas - ride: Regiões Integradas de Desenvolvimento - listar: Lista temas disponíveis
codigoNoCódigo específico do tema (ex: código do bioma, da região metropolitana)
formatoNoFormato de saídageojson
resolucaoNo0 = Apenas contorno, 5 = Com municípios0
qualidadeNoQualidade do traçado: 1=mínima, 4=máxima4
Behavior4/5

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

No annotations provided, so description carries full burden. It implies a read-only operation ('gets'), but does not disclose rate limits, data freshness, or authentication requirements. For a data retrieval tool, this is acceptable but could be improved.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is well-structured with lists and examples, front-loaded with purpose. It is moderately sized but not excessively verbose. Could be slightly more concise, but effective.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 5 parameters and no output schema, description covers usage scenarios well, including diverse themes and formatting options. Examples like 'resolucao=5' add practical context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema already has 100% coverage, describing all parameters. Description adds examples but does not significantly enhance meaning beyond the schema. Baseline score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it 'gets thematic geographic meshes from IBGE', lists available themes with codes, and provides examples. This distinguishes it from sibling tools like ibge_malhas (general meshes).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description provides example usage and lists themes, but does not explicitly state when not to use this tool or suggest alternatives. However, the examples cover common scenarios.

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

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