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Tool Use

Score 12.6 / 100 2 providers +5 via APIs 8 APIs Search apis.io →

Providers using this tag (2)

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Thin 1 Limited public surface area
Agent SkillsAgent SkillsAI AgentsFunction Calling3 APIs28.2
Emerging 1 Early or largely undocumented
AG2AI AgentsMulti-AgentAgentOSAutoGen3 APIs24.0

APIs with this tag (8)

Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →

Strong 1 Solid coverage with minor gaps
Gemini Interactions APIUnified interface for interacting with Gemini models and agents providing a consistent way to manage multi-...55.1
Developing 2 Usable, with meaningful gaps to close
Model Context Protocol (MCP)The Model Context Protocol (MCP) is an open JSON-RPC 2.0 standard for connecting AI applications to externa...52.1Azure OpenAI Responses APIStateful, agent-friendly API for building multi-turn AI experiences with tool use, file inputs, and convers...44.6
Thin 4 Limited public surface area
IO Cloud MCP ServerHosted Model Context Protocol server at https://mcp.io.solutions/mcp that exposes IO Cloud provisioning and...35.9Anthropic Tool Use APIThe Anthropic Tool Use API allows AI agents built on Claude to call client-defined functions or Anthropic-p...28.2Google Agent Development Kit (ADK)Google's Agent Development Kit (ADK) is a flexible framework for building AI agents and multi-agent systems...28.2Model Context Protocol (MCP)The Model Context Protocol (MCP) is an open-source standard for connecting AI applications to external syst...28.2
Emerging 1 Early or largely undocumented
GAIA BenchmarkGAIA is "a benchmark for General AI Assistants," published in 2023 (arXiv 2311.12983). It tests general-pur...20.6

Companies reaching this through an API (5)

These companies publish an API, specification or operation carrying “Tool Use” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.

Agentic AI Foundation Azure OpenAI Service Evals Google Gemini io.net

Score breakdown

Frequency
25.1
log-scaled weighted occurrences
Breadth
0.0
spread across providers
Quality lift
31.3
mean composite of providers using it
Cohesion
0.5
strength of nearest seed neighbor

Related tags

AI Agents 5 co-occurrences

Where this tag comes from

Provider tag2
Api tag8

Work with this as data

Every tag here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

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This tag 
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