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agno_api

Retrieve REST API endpoint details for AgentOS resources, including HTTP methods, parameters, and response schemas.

Instructions

Get AgentOS REST API endpoints from the OpenAPI specification.

Args: resource: API resource to look up. One of: memory, agents, teams, workflows, sessions, knowledge, evals, traces, metrics, database, playground Leave empty to list all available API resources.

Returns detailed REST API endpoint documentation including:

  • HTTP method and path (e.g., GET /memories, POST /memories)

  • Request parameters and their types

  • Request body schema

  • Response codes and descriptions

USE THIS TOOL when the user asks about:

  • REST API endpoints for deployed AgentOS

  • HTTP methods for interacting with AgentOS

  • API schemas and parameters

  • How to call AgentOS programmatically via HTTP

For SDK/Python code (classes, methods), use agno_reference instead. For conceptual docs about features, use agno_agentos instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resourceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. It explains return format (method, path, parameters, body, response codes) and input options. Does not mention side effects, but as a read-only documentation tool, no further disclosure needed.

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?

Well-structured with Args, Returns, and usage guidance sections. Every sentence adds value; no redundancy or fluff.

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

Completeness5/5

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

With one parameter fully documented and return values explained, description is complete. Sibling differentiation and output schema mention ensure no gaps.

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

Parameters5/5

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

Schema has 0% description coverage, but description adds significant meaning: lists valid resource values and explains default behavior. This compensates fully for the missing schema descriptions.

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 AgentOS REST API endpoints from OpenAPI spec, with specific verb and resource. Differentiates from siblings by referencing agno_reference for SDK and agno_agentos for conceptual docs.

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

Usage Guidelines5/5

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

Explicitly states when to use (REST API queries) and when not (SDK or conceptual), providing alternative tools. Also specifies that leaving resource empty lists all resources.

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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