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DoiT MCP Server

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by doitintl

list_cloudflow_templates

Read-only

Browse available CloudFlow templates to see read-only blueprints for building flows. Returns a paginated list with ID, name, description, and instructions.

Instructions

Use this when the user wants to see the catalogue of available CloudFlow templates (read-only blueprints they can build a flow from). Returns a cursor-paginated list of templates with their id, name, description, and instructions. Do NOT use this to view a single template's details (use get_cloudflow_template) or to trigger a flow (use trigger_cloud_flow).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageTokenNoPagination cursor returned by a previous call, to request the next page of results.
maxResultsNoMaximum number of templates to return (1–500). Defaults to 50.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. Description adds behavioral details: returns a cursor-paginated list with fields (id, name, description, instructions). No contradictions.

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?

Three sentences: purpose/usage, return info, exclusions. No extraneous content; every sentence adds value. Front-loaded with key information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple list function, 100% schema coverage, annotations, and sibling list, the description is complete. It specifies return fields despite no output schema.

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 covers 100% of parameters with descriptions. Description does not add parameter-specific details beyond what schema provides, so baseline score applies.

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 explicitly states the tool's purpose: listing the catalogue of CloudFlow templates. It uses specific verb-resource phrasing ('see the catalogue of available CloudFlow templates') and distinguishes from sibling tools like get_cloudflow_template and trigger_cloud_flow.

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

Usage Guidelines5/5

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

Provides clear guidance on when to use ('when the user wants to see the catalogue') and explicit exclusions ('Do NOT use this to view a single template's details...or to trigger a flow'), naming alternative tools.

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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