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AdsAgent — TikTok Ads MCP

interests_archive

Archive an existing saved interest pack owned by the authenticated user. Mirrors Meta interests_archive — wire name preserved across products even though TikTok implements this as a hard delete (the TikTok schema does not yet expose a soft-archive status column). After this call the pack no longer appears in interests_list.

REQUIRED: interest_pack_id (str). EXAMPLE: interests_archive({"interest_pack_id": ""})

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
interest_pack_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

With no annotations, the description carries full responsibility for disclosing behavior. It explicitly reveals that this is a hard delete (destructive) despite the 'archive' name, explains the naming inconsistency with Meta, and notes the consequence that the pack disappears from interests_list. This is critical, non-obvious information an agent must know.

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?

The description is well-structured: main purpose in the first sentence, then important context about the hard-delete behavior, followed by a required-parameter line and an example. The extra context about Meta and TikTok schema is valuable and not redundant. It is slightly verbose but every sentence earns its place.

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 simple one-parameter tool with no output schema, the description covers the core behavioral context: what it does, side effects, and naming rationale. It does not mention error cases or idempotency, but these are not critical for a simple mutation. Overall, it is sufficiently complete for an agent to invoke it correctly.

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 0%, so the description must compensate. It mentions the required parameter and provides an example, but adds little semantic detail beyond the schema. The parameter name is self-explanatory, and the example is a placeholder. It does not explain what the ID refers to, though that is obvious from context. This is adequate but not enriched.

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?

The description clearly states the action (archive), the resource (saved interest pack), and ownership (authenticated user). It distinguishes itself from siblings like interests_list by noting the pack disappears from that list after the call. The Meta mirror note adds context without ambiguity.

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?

Usage is implied: if you want to remove an interest pack, use this tool. However, there is no explicit 'use this when' or comparison to alternative tools like interests_delete (which doesn't exist) or interests_save_fetched_pack. It does state a side effect (no longer appears in interests_list), but does not explicitly say 'use this instead of X when Y.'

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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