List projects
list_projectsList projects in a channel.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| channel_id | Yes | ID of the channel whose projects to list, from list_channels or create_channel |
list_projectsList projects in a channel.
| Name | Required | Description | Default |
|---|---|---|---|
| channel_id | Yes | ID of the channel whose projects to list, from list_channels or create_channel |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / channel_id / descriptionAdded value: +"ID of the channel whose projects to list, from list_channels or create_channel"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool as read-only, idempotent, and non-destructive. The description does not add any behavioral context (e.g., pagination, error handling, rate limits, or what happens if the channel is not found). It adds no value beyond annotations.
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 sentence with no unnecessary words, achieving maximum conciseness. It is well-front-loaded with the core purpose.
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?
Despite the simple structure (1 required param, no output schema), the description fails to explain what is returned (e.g., list of project IDs or full objects). Without output schema, description should specify return format. Also lacks details like ordering, filtering, or limits.
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?
Schema description coverage is 100% (channel_id has a description). The tool description does not mention parameters, so it adds no additional meaning beyond the schema. Baseline of 3 is appropriate.
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 'List projects in a channel' clearly specifies the verb (list), resource (projects), and scope (in a channel), effectively distinguishing it from sibling tools like get_project (single project) or create_project (create).
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 provides no guidance on when to use this tool versus alternatives like get_project or list_assets. It does not mention prerequisites, ordering, filtering, or pagination. The schema parameter description hints at obtaining the channel_id from other tools, but the description itself offers no usage context.
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.
Several tool families overlap in purpose, such as await_jobs/get_workflow_status/get_pipeline_progress, update_segment_content/update_segment_prompts, director_note/project_director_note, and scan_script/rescan_voice_blocks. The descriptions do a good job distinguishing them, but an agent must read carefully to avoid misselection, and there are more than a couple of confusable pairs.
The set overwhelmingly follows a verb_noun snake_case convention with clear prefixes like get_, list_, set_, update_, create_, and delete_. Minor exceptions such as director_note, project_director_note, browse_audio_library, and whoami keep it from being perfectly consistent.
At 72 tools, this is far beyond the 50+ extreme range and creates a heavy navigation burden for an agent. Even though the pipeline is complex, this many tools is not well-scoped for an MCP surface.
The surface covers the full script-to-export pipeline: styles, assets, voices, storyboards, segments, scenes, and rendering all have substantial lifecycle support. Some gaps exist—no delete_channel, delete_segment, delete_voice_block, or delete_provider_key—but most missing operations can be worked around through existing tools.