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List project templates

list_templates
Read-only

List the available project starters. Each template has an id, a human label, a one-line description, default visibility/lifecycle, and a source_kind. The first entries are import templates (source_kind "git" or "archive") that seed a project from your own code; the rest are ordinary starters (source_kind null). Pass the id as template to create_project to pre-pick sensible defaults for that use case.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
templatesYesAvailable project starters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely behavioral context beyond that: it discloses the ordering convention (import templates first), the source_kind values that distinguish them, and that no filtering is available — information an output schema alone would not convey.

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?

Four sentences, front-loaded with purpose and then the entry taxonomy, ending with the actionable next step. The enumeration of fields (id, label, description, visibility, lifecycle) is mildly redundant with the output schema, which is the only real slack.

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?

A zero-parameter read-only tool with an output schema and full annotation coverage needs exactly this: what it returns, how to read the ordering, and what to do with the result. Nothing an agent needs in order to call it correctly is missing.

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?

Zero parameters, so baseline is 4. The description does not invent phantom parameters and correctly frames the returned `id` as the value to feed into create_project's `template` argument, linking the two tools' parameter semantics.

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?

States a specific verb and resource ("List the available project starters") and immediately characterizes what a template is, separating it from the sibling list_projects which returns actual projects. An agent can distinguish the two without opening either schema.

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?

Gives a concrete downstream use: pass the id as `template` to create_project to pre-pick defaults. That is clear context for when to call it, though it states no exclusions or conditions under which a different tool would be preferred.

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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