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run_http_request

Execute HTTP REST API requests concurrently across multiple network devices filtered by criteria, supporting GET, POST, PUT methods with optional JSON payload.

Instructions

Run an HTTP API request (REST) concurrently on multiple hosts.

Args: method: HTTP method (e.g., 'GET', 'POST', 'PUT'). path: API path to request (e.g., '/api/v1/system'). filter_criteria: Dictionary to filter target hosts. json_data: Optional JSON payload for POST/PUT requests.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
methodYes
json_dataNo
filter_criteriaNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries full burden. It reveals that requests run concurrently on multiple hosts, which is a key behavioral trait. However, it does not cover error handling, authentication requirements, rate limits, or what happens on failure. The description is moderately transparent.

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?

The description is concise and front-loaded. It uses a standard docstring format with an Args section, making it easy to parse. Every sentence provides useful information without redundancy.

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?

Given the tool has 4 parameters, an output schema (not shown), and no annotations, the description covers the essential purpose and parameter semantics. It omits behavioral details like concurrency mechanics and error responses, but the presence of an output schema reduces the need to describe return values.

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

Parameters4/5

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

Schema coverage is 0%, so the description must explain parameters. It adds meaning by describing each parameter (method, path, filter_criteria, json_data) with context like 'Optional JSON payload for POST/PUT requests.' This goes beyond the schema's bare property names.

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 the action: 'Run an HTTP API request (REST) concurrently on multiple hosts.' This distinguishes it from sibling tools like run_netmiko_command and generate_config which target network devices and config generation respectively.

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 mentions concurrency on multiple hosts but provides no explicit guidance on when to use this tool versus alternatives. An agent must infer that HTTP APIs should use this tool, while Netmiko or serial commands are for other protocols. No when-not-to-use or prerequisite conditions are stated.

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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