approve_plan_item
Approve a plan item into a scheduled post.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | Yes |
Approve a plan item into a scheduled post.
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | Yes |
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?
No annotations are provided, so the description carries the full burden. It discloses the core action and implied outcome, but does not explain side effects, whether the plan item is consumed or removed, reversibility, or what response the caller should expect.
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, front-loaded sentence with no filler. It is concise and easy to parse, though it achieves brevity by omitting useful context.
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 mutation tool with no annotations and no output schema, the description is too thin. It leaves key operational context implicit: what approval means, whether a scheduled post is immediately created, and what conditions must be true for the plan item to be eligible.
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 schema has a single item_id with 0% description coverage. The description adds some meaning by relating the parameter to 'a plan item', but it does not explain the ID format, where it comes from, or how it connects to plan-related sibling tools.
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 states a specific action ('Approve') and a clear resource ('a plan item') with an outcome ('into a scheduled post'). This helps distinguish it from siblings like schedule_post and cancel_scheduled_post, though it does not fully describe the resulting state change.
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 alternatives such as schedule_post, plan_week, or publish_now. No prerequisites, exclusions, or conditions are mentioned, so the agent must infer usage from the 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 targets a distinct action in the content workflow: planning, composing, approving, scheduling, canceling, publishing, querying, and analytics. Even similar actions like schedule_post and publish_now are clearly separated by timing and irreversibility.
Tool names consistently use snake_case verbs followed by nouns (list_channels, compose_post, cancel_scheduled_post). The pattern is predictable and makes resource-action relationships easy to infer.
14 tools is well-scoped for a content planning and social publishing server. Each tool covers a meaningful step in the workflow without redundant or excessive additions.
The set covers the core content lifecycle: plan, compose, approve, schedule, publish, cancel, and analyze. Minor gaps exist around editing existing drafts or directly modifying plan items, but these can be worked around with the provided tools.