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List Post Approval Events

aidelly_list_post_approval_events
Read-onlyIdempotent

Read the approval audit timeline for one post: submitted, approved, rejected, returned-to-draft, and commented events. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
queryNoOptional query overrides for endpoints with sparse parameter schemas.
brand_idNo
workspace_idNoWorkspace to operate in: the `id` of a workspace returned by aidelly_list_workspaces. Optional for read operations; required when creating content.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / workspace_id / description
      Previous value: -"Workspace to operate in. Do not ask the user for this UUID — call aidelly_list_workspaces and use the `id` of the matching workspace. Optional for read operations; required when creating content."New value: +"Workspace to operate in: the `id` of a workspace returned by aidelly_list_workspaces. Optional for read operations; required when creating content."
  2. Changed1 schema field changed
    • addedInput schema / properties / workspace_id / description
      Added value: +"Workspace to operate in. Do not ask the user for this UUID — call aidelly_list_workspaces and use the `id` of the matching workspace. Optional for read operations; required when creating content."
  3. First observed

TDQS

A3.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint, so the 'Read-only' sentence largely repeats structured data. The one genuinely additive detail is the enumerated event types, which tells the agent what the timeline contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences; the resource and scope come first, the content enumeration second, with no filler. Nothing could be trimmed without losing meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only list endpoint with annotations covering safety and no output schema, the description covers what is being read and its scope. It stops short of noting ordering, pagination, or volume characteristics of the timeline.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 50% schema coverage, the description needed to carry more weight, yet it only implies that `id` is a post identifier. The `query` override object, `brand_id`, and `workspace_id` scoping behavior are left entirely to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Read) and resource (the approval audit timeline for one post), and enumerates the exact event categories returned. This clearly separates it from siblings like get_approvals or list_pending_approvals.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

'For one post' implies the triggering scenario, but there is no explicit when-to-use guidance, no mention of what to use instead for batch or account-level approval queries, and no prerequisites stated. Usage is inferable but not spelled out.

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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