List caption styles
list_caption_stylesList the available caption styles (ids, names, colours), the named positions, and the customization options accepted by create_caption_job.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_caption_stylesList the available caption styles (ids, names, colours), the named positions, and the customization options accepted by create_caption_job.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context by spelling out what the listing returns (ids, names, colours, positions, customization options), which matters because there is no output schema. It does not mention whether the style catalogue is account-specific or static, which is the remaining gap.
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 sentence that front-loads the verb and resource, then packs the return contents and the downstream consumer into one clause. No filler or redundant restatement of the title.
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 parameterless read-only listing, the description covers what the agent needs: what comes back and why it would call this (to feed create_caption_job). Without an output schema this is the right place to describe returned fields, and it does so adequately, though it leaves open whether the catalogue varies by account.
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 compensate for; baseline is 4. Nothing about the description misrepresents the (empty) input contract.
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?
States a specific verb (List) and resource (caption styles) and enumerates the payload contents (ids, names, colours, named positions, customization options). It also distinguishes itself from the sibling create_caption_job by positioning itself as the source of that tool's accepted options.
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 reference to 'customization options accepted by create_caption_job' clearly implies the when: call this to discover valid style ids and positions before creating a job. It stops short of an explicit 'call this before create_caption_job' instruction or any exclusion, so it is clear context rather than a full when/when-not rule.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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