Skip to main content
Glama

api_probe

Probe API endpoints by sending multiple HTTP methods, analyzing response status, content type, and CORS configuration. Supports custom headers and body for security testing and endpoint discovery.

Instructions

API 端点探测工具。向目标 URL 发送多种 HTTP 方法(GET/POST/PUT/DELETE/PATCH/OPTIONS),分析响应状态、内容类型、CORS 配置。支持自定义请求头和请求体,适合 API 安全测试和端点发现。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes目标 API URL(必填)
bodyNo请求体(POST/PUT/PATCH 方法使用)
headersNo自定义请求头,如 {"Authorization": "Bearer token", "Content-Type": "application/json"}
methodsNo要测试的 HTTP 方法列表,默认 ['GET', 'POST', 'PUT', 'DELETE', 'PATCH', 'OPTIONS']
checkCorsNo是否分析 CORS 配置,默认 true
Behavior3/5

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

No annotations exist, so the description must convey behavioral traits. It notes the tool sends multiple methods and analyzes responses, but does not disclose potential side effects, auth requirements, or error handling. For a probing tool, read-only intent is implied but 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.

Conciseness4/5

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

The description is concise and well-structured: first sentence defines core functionality, second adds customization and use case. No redundant information, though some details could be more specific.

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?

Given five parameters including nested headers and no output schema, the description covers the core function but omits important context like return format, behavior on failure, or how CORS analysis works. It is adequate but not thorough.

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 coverage is 100%, so all parameters are already described. The description adds only generic mention of custom headers and body, which mirrors the schema. No additional nuance or constraints are provided beyond the schema.

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?

The description clearly states it is an API endpoint probe tool that sends multiple HTTP methods and analyzes responses. However, it does not distinguish from sibling tools like asset_endpoint_probe or security_headers_check, which have overlapping purposes.

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 suitability for API security testing and endpoint discovery, providing some context. But it lacks explicit guidance on when not to use it or how it differs from related tools, leaving usage determination to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/validpilot/ai-verify-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server