Create Change Set
create_change_setCreate a staged file change set. Add multiple file changes, validate them as one app state, then apply atomically.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| label | No | Optional short label | |
| app_id | Yes | The app ID |
create_change_setCreate a staged file change set. Add multiple file changes, validate them as one app state, then apply atomically.
| Name | Required | Description | Default |
|---|---|---|---|
| label | No | Optional short label | |
| app_id | Yes | The app ID |
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 description says 'apply atomically,' which suggests a write/apply operation, but annotations declare destructiveHint=false. While the existence of apply_change_set suggests create_change_set only creates a set, the description's wording could mislead an agent into thinking it applies changes. It also doesn't disclose that this is a write operation (though readOnlyHint=false implies it) or mention idempotency. The description fails to clarify its actual behavioral scope.
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 only two sentences, so it's concise, but the second sentence is redundant and potentially misleading. It could be trimmed to just 'Create a staged file change set' and then note that applying is separate. It doesn't front-load the essential differentiator from siblings. It's not too long, but not optimally structured.
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?
The description doesn't explain what happens after creation—whether to use add_file_change and apply_change_set—or what the tool returns. There's no output schema, so the description should at least hint at the next steps or return value. It also doesn't mention any prerequisites (e.g., existing app). The workflow is incomplete, leaving the agent without a clear sequential path.
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 coverage is 100%, with both label and app_id already described. The description adds no extra meaning about parameter relationships, defaults, or constraints. It only mentions 'staged file change set' which doesn't directly illuminate the parameters. Baseline 3 applies because the schema does the heavy lifting.
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 opens with 'Create a staged file change set,' which names the action and resource. However, it then adds 'Add multiple file changes, validate them as one app state, then apply atomically,' which could be misread as the tool performing all these steps, especially given sibling apply_change_set. It doesn't explicitly differentiate itself from apply_change_set, leaving the exact scope ambiguous.
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?
There is no guidance on when to use this tool versus apply_change_set or add_file_change. The description implies a workflow but never states 'Use apply_change_set to apply' or 'Create a set before adding changes.' The agent is left to infer the sequencing from sibling names.
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 clearly distinct purposes with detailed descriptions, but there are some overlapping pairs like read_app_file/read_app_files and create_entity_records vs seed_entity, which could cause misselection. Singular/plural variants and compatibility tools introduce minor ambiguity, but the majority are well-separated.
Tool names predominantly follow a consistent verb_noun pattern (e.g., create_app, get_entities, delete_secret). There are some variations like 'agency_create_client' and 'seed_entity' that deviate slightly, but the overall convention is predictable and readable.
With 82 tools, the server is far above the typical range and feels overwhelming. Even for a full platform API, the count is extreme and likely increases selection complexity. A more curated set would improve navigability without sacrificing capability.
The tool surface is exceptionally comprehensive, covering app lifecycle, file operations, entity CRUD, versioning, A/B testing, secrets, integrations, domains, agents, scheduling, policies, and member management. No obvious missing operations for the platform's scope; it even includes validation and workflow guidance tools.