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gbif_species_vernacular_names

Read-onlyIdempotent

: Retrieve vernacular common names for a GBIF species across multiple languages. Filter by language code to get preferred local names for any species key.

Instructions

Get vernacular (common) names for a species in multiple languages. Returns preferred names when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesGBIF species key. The unique identifier of the species whose common names you want to retrieve. Example: 5219404 (Panthera leo) returns "African Lion", "Lion", "León", etc.
limitNoMaximum number of vernacular names to return per page. Controls pagination. Range: 1-1000, default: 20.
offsetNoPagination offset. Determines the starting point for results. A limit of 20 and offset of 40 will get the third page of 20 results. Default: 0.
languageNoISO 639-1 language code filter to retrieve names in a specific language. 2-letter code. Example: "en" (English), "es" (Spanish), "fr" (French), "de" (German), "pt" (Portuguese), "zh" (Chinese), "ja" (Japanese). Omit to get names in all available languages.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and non-destructive behavior, so the safety profile is covered. The description adds one behavioral note—that preferred names are returned when available—but says nothing about empty results, per-language coverage, or pagination behavior beyond what the schema states.

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?

Two short sentences with the core purpose front-loaded and no filler. The second sentence ('Returns preferred names when available') is mildly vague but does add a distinct point rather than restating the first.

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

Completeness3/5

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

For a four-parameter tool with full schema coverage and rich annotations, the description is adequate but thin on the output side: there is no output schema, yet the shape of a vernacular-name result (name, language, preferred flag) is never described. Inputs and safety are well covered; returns are not.

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%: key, limit, offset, and language are each documented with examples and defaults in the schema itself. The description mentions multi-language support but adds no syntax, defaults, or format detail beyond the schema, so the baseline of 3 applies.

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

Purpose4/5

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

Specific verb+resource: 'Get vernacular (common) names for a species' clearly distinguishes it from siblings like gbif_species_synonyms, gbif_species_descriptions, and gbif_species_distributions. It does not name any sibling explicitly, but the resource is unambiguous enough that an agent can route without opening schemas.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is given, and no alternative is named (e.g., would an agent use this or gbif_species_get for common names?). The phrase 'in multiple languages' implies a use case for language filtering, but that is inference, not guidance.

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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