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AdsAgent — TikTok Ads MCP

Prepare an ad delivery status change

delivery_status_prepare

Validate a bounded tenant-owned TikTok delivery-status change and return a single-use approval_ref. This tool never mutates TikTok. Use native ad_group; adset remains an explicit adapter alias.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_idYes
entity_refsYes
entity_typeYes
ad_account_idYes
target_statusYes
idempotency_keyYes
connection_contextNo
rule_id_and_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations give readOnlyHint=false with destructiveHint=false, which is potentially confusing, and the description usefully resolves it: the tool writes an approval artifact but 'never mutates TikTok'. It also adds the 'bounded tenant-owned' scope and the single-use nature of the returned reference. It omits auth requirements, idempotency behavior, and validation failure modes.

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

Conciseness4/5

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

Three short sentences with the core behavior front-loaded and zero filler. Phrasing like 'bounded tenant-owned' is slightly opaque jargon, but nothing is wasted or buried.

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

Completeness3/5

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

The description conveys the essential model (validate, no mutation, return approval_ref), which partially compensates for the absent output schema. However, for a tool with 7 required parameters and no schema descriptions, leaving nearly every input unexplained is a real gap.

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?

Schema description coverage is 0% across 8 parameters, so the description must carry the burden, yet it clarifies only entity_type (ad_group vs adset alias). run_id, rule_id_and_version, idempotency_key, entity_refs, target_status, ad_account_id, and connection_context are left entirely unexplained.

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

Purpose4/5

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

The description names a specific verb and resource ('Validate a ... TikTok delivery-status change') and states the artifact produced ('return a single-use approval_ref'). It also separates itself from the confirm counterpart via 'This tool never mutates TikTok', though it never explicitly names the delivery_status_confirm sibling as the downstream step.

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?

The only routing guidance is parameter-level ('Use native ad_group; adset remains an explicit adapter alias'), which addresses enum choice rather than when to call this tool instead of delivery_status_confirm or bid_prepare/budget_prepare. The prepare-then-confirm relationship is only implied by the name.

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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