List projects
list_projectsList all projects owned by the authenticated user.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_projectsList all projects owned by the authenticated user.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The readOnlyHint annotation already covers side effects. The description aligns with this by using 'List', which is non-mutating. No additional behavioral details are needed for this simple read operation.
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?
The description is a single, concise sentence with no redundant information. It gets straight to the point.
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?
Given the simplicity and lack of output schema, the description is sufficient. It communicates the essential behavior without needing to specify return format or pagination, which are not implied by the tool's nature.
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?
There are no parameters, so the description has nothing to explain. The schema coverage is complete (vacuously), and the description adds no unnecessary parameter details.
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?
The description clearly states the action (list) and the resource (projects), with a scope (owned by the authenticated user). It is distinct from siblings like get_project and list_episode_segments.
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?
The description implicitly indicates when to use it (when you need all projects for the current user) and distinguishes it from single-project retrieval. It does not explicitly compare to alternatives, but the scope is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clear, distinct purposes, but some overlap exists between get_episode_shots and list_episode_segments, and get_episode_editor vs get_episode could be confused. Overall, the generate/get/list/update families are reasonably distinguishable.
The verb_noun pattern is consistently applied across generate_, get_, list_, and update_ tools. Minor deviations like get_episode_editor (which returns a tree rather than an editor) and get_asset_library (rather than list_assets) prevent a perfect score.
With exactly 25 tools, this exceeds the 'too many' threshold of 25+ in the calibration. While the domain is complex, the count feels heavy, especially with many near-duplicate get/list variants.
The tool surface is read- and generation-heavy but lacks update operations for characters, episodes, and projects, and has no delete operations at all. This creates notable gaps in lifecycle management, though the existing read/generate coverage is substantial.