list_projects
Retrieve all existing Reelwright projects so AI agents can select a video timeline to edit, inspect, or continue working on.
Instructions
List existing Reelwright projects.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve all existing Reelwright projects so AI agents can select a video timeline to edit, inspect, or continue working on.
List existing Reelwright projects.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full disclosure burden. The word "existing" weakly implies a non-mutating read, but nothing is said about permissions, result ordering, pagination, or whether the response contains names, IDs, or full project objects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or redundancy. It is efficient, though its brevity edges toward under-specification rather than crisp precision.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-argument list tool with no output schema, the description covers the basic purpose but omits what the returned project records contain and whether the list can be large. An agent knows what the tool does but not what it gets back.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so there is no parameter semantics for the description to explain. The baseline of 4 applies; nothing in the schema is left ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description gives a specific verb ("List") and resource ("Reelwright projects"), which is enough to distinguish it from the mutation sibling create_project. It stops short of naming that sibling or stating scope (all projects vs. filtered), so it is clear but not fully differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is only implied: an agent can infer this is the read-side counterpart to create_project when it needs existing project identities. There is no explicit when-to-use statement, no prerequisites, and no mention of alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.