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AdsAgent — Meta Ads MCP

interests_fetch_from_adset

Read-only

Preview a reusable audience pack from one live Meta ad set

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
adset_idYes
ad_account_idYes
connection_contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
retryableNo
support_refNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedOutput schema / else / then / properties / category
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / expected
      Added value: +{
      +  "type": "boolean"
      +}
    • addedOutput schema / else / then / properties / failure_kind
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / responsibility_hint
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / route
      Added value: +{
      +  "type": "string"
      +}
    • addedOutput schema / else / then / properties / user_visible
      Added value: +{
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  3. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The word 'Preview' adds a mild behavioral nuance (non-persistent, in contrast to interests_save_fetched_pack) and 'live Meta ad set' hints at a live external fetch, but no auth, rate-limit, or failure behavior is disclosed.

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?

A single front-loaded sentence with no filler, so it is efficient. It is arguably under-specified rather than over-long, but on the conciseness axis it reads cleanly.

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

Completeness2/5

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

An output schema exists so return values need no explanation, but the definition still leaves the three inputs entirely unexplained and gives no routing guidance. For a three-parameter tool with 0% schema coverage, the description should do more work than this.

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%, so all three parameters (adset_id, ad_account_id, connection_context) are undocumented in structured data. The description only loosely implies an ad set identifier via 'one live Meta ad set' and says nothing about the account parameter or the mctx connection token, so it fails to compensate for the coverage gap.

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 ('Preview') and a specific resource ('reusable audience pack from one live Meta ad set'), which is enough to separate it from siblings like interests_list or interests_search. It lacks a direct contrast to the close sibling interests_save_fetched_pack, so it stops short of a 5.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus alternatives such as interests_get, interests_list, interests_search, targeting_search, or the natural follow-up interests_save_fetched_pack. The reader must infer usage entirely from the phrase 'Preview'.

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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