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biopulse

BioPulse: Global biodiversity intelligence API. GBIF + IUCN + eBird + iNaturalist data synthesis. Species profiles, IUCN conservation status, sighting reports, birding hotspots, migration tracking, endangered s

Coverage: Global

Endpoints: • species ($0.12): Species profile • sightings ($0.08): Recent wildlife sightings • birding ($0.10): Birding intelligence • invasive ($0.08): Invasive species alerts • endangered ($0.10): Endangered species profile • hotspot ($0.10): Biodiversity hotspot guide • identify ($0.12): Species identification • migrate ($0.10): Migration intelligence • marine ($0.10): Marine biodiversity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNolat
lngNolng
distNoSearch radius in km (max 50, default 25)
langNolang
groupNobird | mammal | reptile | amphibian | insect | plant | other
actionYesWhich endpoint to call. Options: species | sightings | birding | invasive | endangered | hotspot | identify | migrate | marine
radiusNoRadius in km (max 100, default 25)
regionNoCountry, state, province, or region name
speciesNoCommon or scientific name
locationNolocation
descriptionNoWhat you observed — size, color, behavior, habitat

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses pricing per endpoint and global coverage, but omits critical behavioral aspects like output format, authentication requirements, rate limits, error handling, or whether the tool writes data. The 'data synthesis' phrasing hints at read-only aggregation but is not explicit.

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

Conciseness3/5

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

The description is organized as a bulleted list, which aids scanning, but the first line is a long run-on sentence and the text is truncated mid-sentence ('endangered s'). It front-loads the main purpose but lacks polish and completeness.

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

Completeness2/5

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

For a tool with 11 parameters, 9 endpoints, and no output schema, the description is insufficient. It lists endpoints but doesn't explain required parameters per action, sample requests, or response structure. An agent would struggle to invoke the tool correctly without additional 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?

Schema description coverage is 100% (all params have descriptions), but several descriptions are trivial (e.g., 'lat', 'lng', 'lang'). The description adds endpoint cost information but does not map endpoints to required parameters or explain how to use specific params per action. Baseline 3 is appropriate since the schema covers all params.

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 clearly states the tool's function as a global biodiversity intelligence API, synthesizing GBIF, IUCN, eBird, and iNaturalist data. It lists specific endpoints like species profiles, sighting reports, and migration tracking, which distinguishes it from sibling tools in other domains.

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

Usage Guidelines3/5

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

The description implies usage for biodiversity-related queries through examples like species profiles and sighting reports, but it does not explicitly state when to use this tool versus alternatives or exclude other cases. No alternative tools are named.

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

B3.2/5.0
Disambiguation4/5

Each tool has a unique domain prefix (e.g., airdroppulse, alphapulse, arbipulse) making them mostly distinguishable at a glance. A few adjacent verticals like careerpulse vs talentpulse or marketpulse vs dealpulse have overlapping themes, but their descriptions clarify the distinct focus. The utility tools (catalog_search, discover, get_openapi_spec, x402_troubleshoot) are also clearly distinct in role. However, the sheer number of similar 'pulse' names could still cause misselection without reading descriptions.

Naming Consistency4/5

The dominant naming convention is `<domain>pulse` (e.g., climatepulse, cryptopulse, edupulse), which is highly consistent and predictable. Exceptions like catalog_search, discover, get_openapi_spec, x402_troubleshoot, and stateedge break the pattern, but these are few and serve obvious utility purposes. Overall, the convention is clear and easily learnable.

Tool Count2/5

With 80 tools, the server presents an extremely large and potentially overwhelming surface. While each tool represents a distinct intelligence vertical and navigation aids exist (catalog_search, discover, get_openapi_spec), the count far exceeds the typical 3-15 range for coherent agent use and even the 'heavy' 16-25 range. The burden of selecting the correct vertical from 80 options is significant, despite clear naming.

Completeness5/5

The server offers an exceptionally broad and deep coverage of domains, from finance and health to agriculture and gaming. Each vertical includes multiple endpoints that address core operations for its domain, such as search, analysis, comparisons, deterministic checks, and even action-oriented tools like letter generators and physical mail. The presence of free discovery and troubleshooting tools fills potential gaps, leaving no obvious dead ends in the overall tool surface.