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iscabox

Buscar locais de pesca

search_locations
Read-onlyIdempotent

Busca locais de pesca no acervo da iscabox — rios, represas, praias, pesqueiros. Filtre por estado, espécie ou tipo de água. Use quando o usuário perguntar onde pescar. Se o usuário citar uma cidade, passe lat e lng dela: locais próximos entram na resposta mesmo quando a cidade em si não tem página. Use kind para separar pesque-pague de água livre.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude, em graus decimais, da cidade ou ponto que o usuário citou. Preencha com o que você sabe da geografia brasileira. Ex: Marau (RS) é -28.45.
lngNoLongitude do mesmo ponto. Ex: Marau (RS) é -52.20.
kindNoTipo de local. "pesqueiro" = pesque-pague; "natural" = rio, represa, lagoa, praia. Passe "natural" quando o usuário não quer pesque-pague.
limitNoQuantos resultados (1-8, padrão 5).
queryNoNome do local, cidade, região ou espécie.
stateNoNome ou slug do estado. Ex: "sao-paulo", "Mato Grosso".
waterNoTipo de água. Use "estuarine" para estuários e "pelagic" para pesca em alto-mar / oceânica / mar aberto.
speciesSlugNoSlug de espécie (de search_species) para achar onde pescá-la.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds valuable non-obvious behavior: passing lat/lng for a city returns nearby places even when the city itself has no page. It also instructs using kind to separate pesque-pague from natural water, going 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.

Conciseness5/5

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

Four sentences, each earning its place: the purpose, the filter capabilities, the primary use trigger, and the city/kind behavior. It is front-loaded with the most important information and contains no filler.

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?

For an 8-optional-parameter search tool with no output schema, the description covers the main invocation scenarios: general 'where to fish' queries, city-based proximity searches, and kind separation. It does not describe the response shape or ordering, but the rich schema descriptions and annotations carry enough of that burden.

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?

Schema description coverage is 100%, and the description itself mostly restates what the schema already explains, such as filtering by state, species, or water type. The only added semantic hint is 'Use kind para separar pesque-pague de água livre', but the kind parameter description already conveys that distinction. Baseline 3 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?

The description opens with 'Busca locais de pesca no acervo da iscabox', naming the specific verb, resource, and collection, then enumerates the types of results (rios, represas, praias, pesqueiros). This clearly distinguishes it from sibling search tools like search_species or search_equipment, which target different resource types.

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?

The description explicitly says 'Use quando o usuário perguntar onde pescar', providing a clear trigger condition for when to invoke the tool. It also gives contextual guidance for city-based queries, but it does not mention when not to use it or name alternative tools like get_location or get_river.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a clear resource-action pair: search_* finds entities, get_* retrieves details, and build_tralha composes a full kit. The explicit cross-reference in get_lures_for_species and build_tralha prevents overlap with search_equipment.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: search_ for queries, get_ for details, and build_ for the one assembly action. The Portuguese term 'tralha' is domain-specific but does not break the pattern.

Tool Count5/5

12 tools is well within the ideal 3-15 range and each one earns its place across species, equipment, locations, techniques, conditions, and kit assembly. The count feels intentionally scoped for a fishing assistant without bloat.

Completeness5/5

The surface covers the full discovery-to-recommendation journey: search species/equipment/locations/techniques, get detailed information, check fishing conditions, and assemble a complete rig. Domain-specific needs like lure-to-species mapping and river routes are also covered, leaving no obvious dead ends.

Resources