Skip to main content
Glama

Create Bruno Request

create_request

Create API testing request files in Bruno collections, supporting HTTP, WebSocket, and gRPC, with .bru or .yml formats, including scripts, assertions, and variables.

Instructions

Generate request files for API testing (supports .bru and .yml formats). Authors HTTP requests by default, WebSocket requests with kind "websocket" (url plus websocket.messages) and gRPC requests with kind "grpc" (url plus grpc.method, grpc.protoPath and grpc.messages); neither takes an HTTP method or a body. Supports multipart/form-data with file uploads and per-part contentType (body.type "form-data" with formData entries of type "file"), and inline scripts (pre-request/post-response/tests) so no separate add_test_script call is needed. Scripts run as async functions: top-level await works, and bru.sleep(ms)/setTimeout/setInterval are available, spending the script timeout (settings.timeout, default 5000ms) — raise it via the settings argument.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
authNo
bodyNo
grpcNogRPC-only fields. Applies to kind "grpc" and is refused otherwise. Headers given for a gRPC request are written as metadata, which is that transport's only header surface.
kindNoTransport. Defaults to "http". "websocket" and "grpc" take no method and no body; their payloads are websocket.messages and grpc.messages.
nameYes
varsNo
queryNo
assertNoDeclared assertions, evaluated on every run without needing a test() block.
folderNo
methodNoRequired for kind "http", refused for "websocket" and "grpc", which have no HTTP method. A gRPC request names its RPC method in grpc.method.
headersNo
scriptsNoInline scripts to persist with the request. Keys: pre-request, post-response, tests (aliases before-request/after-response accepted). Avoids a separate add_test_script call. IMPORTANT for tests/post-response: only assertions inside a test() block are reported. Write test("status is 200", function() { expect(res.getStatus()).to.equal(200); }); — a bare expect() at the top level still runs, but a passing one records nothing, so run_collection reports "tests": [] and the request looks green with no assertions. Available in scripts: res.getStatus()/getStatusText()/getHeader(name)/getHeaders()/getBody()/getResponseTime(), res.getStopReason()/getCloseCode()/getSessionTruncated() on a websocket request, which report the same session outcome the result does (all null or false on an HTTP response, which has no session), bru.setVar(name, value)/getVar(name)/getEnvVar(name)/hasEnvVar(name), and expect(actual) with .to.equal/.contain/.include, .to.have.property/.lengthOf, .to.be.a/.an, .to.be.above/.below/.at.least/.at.most (aliases .gt/.lt/.gte/.lte/.greaterThan/.lessThan), .to.be.within(min, max), .to.be.oneOf([...]), .to.match(/re/), .to.startWith/.endWith, .to.be.true/.false/.null/.undefined/.empty/.json,and .to.not.* negations. VARIABLES: bru.getVar(name) resolves environment and collection variables as well as anything a script set, so an environment variable needs no shadow copy to be readable. bru.getEnvVar(name) is narrower on purpose: it reads the environment layer only, so a runtime variable of the same name does not shadow it. There is no setEnvVar — nothing here writes an environment file. RETURN TYPE: res.getBody() returns the response already parsed into a JS object/array when the Content-Type is application/json or a +json type (raw text otherwise). Access fields directly — res.getBody().field — and do NOT JSON.parse() it, which throws SyntaxError: "[object Object]" is not valid JSON.
sequenceNo
settingsNoRequest-level settings: transport behaviour (timeouts, redirects, URL encoding), not payload. What reaches the file depends on the dialect, because Bruno's own two writers differ: a .yml request always carries a fully resolved settings block whether or not you pass one, while a .bru request carries only what you supply. On modify_request the fields are merged individually over the existing block, so setting one does not clear the rest. Note the encodeUrl field: in .bru, creating a block at all changes the URL-encoding default.
websocketNoWebSocket-only fields. Applies to kind "websocket" and is refused otherwise.
pathParamsNoValues for :name segments in the URL, e.g. { id: "42" } for /users/:id.
collectionPathYesAbsolute path to existing collection directory.
Install Server

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden and does so well: it discloses that scripts run as async functions, that top-level await and bru.sleep/setTimeout/setInterval work, that the script timeout defaults to 5000ms and can be raised via settings, and that websocket/grpc requests reject HTTP method/body semantics. It does not mention overwrite behavior or error cases, but the disclosed behavioral traits go well beyond a minimal statement.

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 dense and information-rich, front-loaded with the core purpose and format support, then branching into kind-specific and script-specific details. It earns its length for an 18-parameter tool, though a single long paragraph could be better structured with bullets or section breaks for skimmability.

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's high complexity (18 params, nested objects, no output schema), the description covers the essential orientation: file formats, three transport kinds, key body modes, script execution semantics, and timeout handling. It does not explain return values or overwrite behavior, but the combination of description and rich input schema gives an agent sufficient context to invoke the tool correctly.

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 description coverage is 50%, so the description should add semantic meaning, and it does: it explains how kind interacts with method/body, what form-data file uploads require, and how settings.timeout relates to script execution. The schema itself carries rich descriptions for many properties, and the main description ties key parameters together without simply repeating the schema.

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 opens with a specific verb and resource: 'Generate request files for API testing' and immediately names the supported formats (.bru and .yml). It distinguishes itself from siblings by stating that inline scripts mean 'no separate add_test_script call is needed' and by clarifying the kind-specific behavior (http, websocket, grpc), making the tool's purpose unmistakable.

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

Usage Guidelines4/5

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

The description gives clear context on when to use create_request: to author request files, with explicit guidance on kind selection and the script inclusion alternative. It does not provide exhaustive when-not guidance against all siblings (e.g., create_crud_requests or modify_request), but the inline-script note and kind distinctions offer solid usage context.

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

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/Ostico/bruno-mcp-studio'

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