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Get Approval Batch

aidelly_get_approval_batch
Read-onlyIdempotent

Read one content approval batch by id, including its generated content and review status. Read-only. It does not approve, reject, or schedule content.

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. Added

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and openWorld, so the safety profile is covered. The description adds useful context: what is returned (generated content + review status) and an explicit disclaimer that no approval/rejection/scheduling side effects occur. No auth or rate-limit detail, but that is a minor gap here.

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?

Three short sentences, all load-bearing: the action, the read-only posture, and the excluded operations. Front-loaded with the core purpose and no padding.

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?

No output schema exists, and the description partially compensates by naming the returned fields. Combined with the full annotation set, an agent has enough to call this correctly, though brand_id semantics and the shape of 'generated content' remain unspecified.

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

Parameters3/5

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

Schema coverage is 50%: workspace_id and query carry inline descriptions, but brand_id is undocumented and the description only restates 'by id'. With half the parameters lacking schema documentation, the description should compensate for it and does not, so the baseline 3 is appropriate.

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), resource (content approval batch), and scope (one, by id), plus what the payload contains (generated content and review status). This distinguishes it from the list-style siblings like aidelly_get_approvals and aidelly_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 Guidelines4/5

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

The description draws a clear negative boundary by naming the operations it does not perform (approve, reject, schedule), which steers the agent toward mutating siblings for those actions. It does not, however, name the specific alternative tool or state prerequisites beyond the id.

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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