Get Motion Text spec
get_specMachine-readable capabilities, limits, draft schema, and integration endpoints.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_specMachine-readable capabilities, limits, draft schema, and integration endpoints.
| 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 description adds behavioral context beyond annotations by detailing the content of the returned spec (capabilities, limits, etc.). It aligns with the readOnlyHint annotation and is informative without contradiction.
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 one concise sentence that front-loads the key attribute ('Machine-readable') and efficiently covers the tool's purpose with no waste.
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 tool has no parameters and no output schema, the description sufficiently explains what the spec contains, providing complete context for a simple retrieval operation.
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, and schema description coverage is 100%. The description adds no parameter-specific information, which is expected and meets the baseline for such cases.
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 tool retrieves a machine-readable spec containing capabilities, limits, draft schema, and integration endpoints. It distinguishes from sibling tools (create_story_draft and list_visual_presets) which perform different actions.
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 does not provide any guidance on when to use this tool versus alternatives. It does not specify prerequisites or exclusions, leaving the agent to infer usage from the tool name alone.
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.
Each tool has a clearly distinct purpose: creating drafts, retrieving specifications, and listing visual presets. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern using snake_case (create_story_draft, get_spec, list_visual_presets), making them predictable and easy to understand.
Three tools is slightly below average but well-scoped for a focused server dedicated to story draft creation. Each tool serves a necessary function without unnecessary expansion.
The tool set covers core creation and configuration capabilities but lacks lifecycle management tools (e.g., updating or deleting drafts). Users cannot retrieve existing drafts or manage them beyond creation, which may lead to dead ends.