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by stormhop
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Create a collection

create_collection

Create an empty collection in a Kurlo workspace so save_request can store and organize API requests.

Instructions

Create an empty collection in the workspace for save_request to put requests in.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>"
    },
    "name": "create_collection"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameYesCollection name, for example the service or API it covers.
workspaceNoWorkspace name, when the folder holds more than one.
descriptionNoOptional description.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.4.1

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=false and idempotentHint=false, so the agent knows this is a local, non-destructive write. The description adds only that the result is an empty collection; it doesn't say what happens on a name collision, which matters given idempotentHint=false, nor whether the collection is immediately usable by save_request.

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?

A single front-loaded sentence with zero filler. The operation is named first and the rationale for it follows immediately.

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?

For a simple three-parameter local write with full schema coverage and no output schema, the description covers the essentials. The remaining minor gap is duplicate-name behavior, which an agent might guess wrong given idempotentHint=false.

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 description coverage is 100% and all three parameters (name, workspace, description) are documented in the schema, so the schema does the heavy lifting. The description adds no semantics beyond that, which is the baseline case for a fully-documented 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?

States a specific verb+resource ('Create an empty collection in the workspace') and adds scope ('empty') plus the downstream consumer ('for save_request to put requests in'). That distinguishes it from the read/mutation siblings, though it doesn't explicitly contrast with delete_request or list_requests.

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 phrase 'for save_request to put requests in' implies the workflow context: create a container first, then save requests into it. No explicit exclusions or alternatives are named, but among the siblings there is no competing create-container tool, so the context is sufficient.

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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