creative_save_draftValidate and save a complete Creative Library draft using the canonical taxonomy and format-specific content slots. An identical retry is a no-op. It cannot replace published content or publish a page.
| Name | Required | Description | Default |
|---|---|---|---|
| content | Yes | ||
| frontmatter | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark this as idempotent and non-destructive, and the description reinforces idempotency ('An identical retry is a no-op') and adds behavioral limits ('cannot replace published content or publish a page'). Since schema coverage is 0%, the description carries important behavior details that go beyond annotations. No contradiction with readOnlyHint=false.
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?
Three terse sentences, each information-dense: purpose and constraints in the first, idempotency in the second, and explicit exclusions in the third. No filler; front-loaded with the primary action and resource.
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 extreme complexity of the input schema (multiple nested formats and taxonomy fields) and the absence of an output schema, the description is far too brief. It does not explain how formats determine content slots, what validation entails, error behavior, or what the tool returns. An agent would still need to inspect the entire schema to understand usage, so the description alone is not sufficient for correct invocation.
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?
With schema description coverage at 0%, the description must compensate but does so minimally. The phrases 'canonical taxonomy' and 'format-specific content slots' hint that frontmatter and content must follow a structure, but the description provides no concrete guidance on how to populate the required parameters (frontmatter and content) or how formats map to slots. For a tool with such a large, nested schema, this is insufficient.
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 verb (validate and save), the resource (a complete Creative Library draft), and the constraints (using canonical taxonomy and format-specific content slots). It also distinguishes itself from publishing by explicitly stating what it cannot do. It does not name specific sibling tools, but the functional boundary is clear.
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 implies usage for saving drafts and explicitly notes it cannot publish or replace published content, which partially routes the agent away from publish/update tools. However, it does not name any alternative tools or provide conditions for when to choose this over a sibling like creative_publish_article or creative_get_draft. Guidance is implicit rather than explicit.
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.
Despite the high tool count, most tools have distinct purposes with thorough descriptions that specify when to use each. Some overlap exists among creative direction tools (call_creative_worlds vs chat_with_creative_worlds), but the descriptions clarify usage patterns.
Naming conventions are inconsistent overall: some follow verb_noun (create_powersource_url, decode_ad), others use noun_verb or compound names (adformula_intelligence, fleet_analytics_overview). However, subgroups like dispatch_* and list_*_presets maintain internal consistency.
112 tools is far beyond the typical 3-15 range for well-scoped servers. While the server covers a broad domain, the sheer number likely overwhelms agents and suggests insufficient consolidation of related operations.
The tool set covers core creative intelligence workflows: brand analysis, ad decoding, script generation, creative direction, and research. Minor gaps exist (e.g., no social media publishing tools), but the main use cases are well-supported.