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gmunro-lyft

Workato Dev MCP

by gmunro-lyft

create_api_collection

Create an API collection ready for exposure as a Workato MCP server. Requires a name and project ID; endpoints are added later through the UI.

Instructions

Create an API collection (which can then be exposed as a Workato MCP server). Needs name + project_id. Note: endpoints themselves are added in the UI — there is no create-endpoint Developer API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
project_idYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose a key limitation: 'endpoints themselves are added in the UI — there is no create-endpoint Developer API.' This is valuable context. However, it doesn't mention what output/return value to expect, permissions, idempotency, or side effects beyond creation, so the burden is only partially met.

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 two sentences, with the main purpose front-loaded and a separate note for the limitation. Every word earns its place; no filler or repetition.

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 create tool with only two parameters and no output schema, the description is fairly complete: it defines the purpose, the required inputs, and an important non-obvious limitation about endpoint creation. However, it doesn't state what is returned (e.g., an ID) or what happens after creation, which would be helpful for an agent to chain subsequent calls.

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

Parameters1/5

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

The description only repeats 'Needs name + project_id', which is already shown in the schema's required array. With 0% schema description coverage, the description should explain what project_id refers to or what name should be, but it does not add any semantic meaning beyond the parameter 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?

The description clearly states 'Create an API collection' with a specific verb and resource, and adds context that it can later be exposed as a Workato MCP server. This distinguishes it from sibling tools like create_mcp_server (which creates the server itself) and list_api_collections (which lists existing collections).

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 says 'Needs name + project_id', which implies these are required, and includes an explicit note that endpoints are added in the UI, not via a Developer API. This tells the agent when not to use this tool (to create endpoints) and implies the intended use case is collection creation only. It doesn't explicitly name alternatives like create_mcp_server, but the MCP server reference suggests a workflow.

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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