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filippofinke

reddit-ads-mcp

by filippofinke

Get ad account change history

reddit_ads_get_ad_account_history
Read-only

Retrieve the change log for a Reddit ad account to see who changed what and when. Filter by time, member, change type, or entity to audit account activity.

Instructions

Get the change log of an ad account (who changed what and when).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoSent as {"data": {...}}. All optional: start_time, end_time (ISO 8601), member_ids [], change_types [AD_ACCOUNT|AD|AD_GROUP|AUDIENCE|BID|BUDGET|CAMPAIGN|STATUS|TARGETING], entity_id_filters [{entity_ids, entity_type: AD|AD_GROUP|CAMPAIGN, include_child_entities}], entity_name_filters [{entity_names, entity_type, operator: EQUALS|LIKE, include_child_entities}].
max_pagesNoFollow pagination.next_url up to this many pages and merge results (default 1)
page_sizeNoItems per page (usually max 1000)
page_tokenNoPage token from a previous pagination.next_url
ad_account_idNoAd account ID (t2_... or a2_...). Defaults to REDDIT_ADS_ACCOUNT_ID.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so the safety profile is already clear. The description adds some content context by specifying that the log shows 'who changed what and when.' However, it does not disclose pagination behavior, rate limits, or authentication requirements beyond what the schema already provides.

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?

The description is a single, front-loaded sentence with zero waste. It communicates the core purpose immediately and does not include redundant or filler content.

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?

Given the tool has five parameters, a nested object, and no output schema, the description is minimal but provides a basic summary of the return content. It does not explain pagination, filtering, or the default ad account behavior, though the schema covers those details. It is adequate but leaves room for more context.

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 description coverage is 100%, so all five parameters are fully documented in the schema. The description adds no parameter-level meaning beyond what the schema provides. Baseline 3 is appropriate when the schema carries the full parameter burden.

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 states a specific verb and resource: 'Get the change log of an ad account.' It adds a parenthetical clarifying the content ('who changed what and when'). It does not explicitly differentiate from siblings like get_ad_account or get_report, though the resource is naturally distinct.

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?

No usage guidance is provided. The description does not say when to use this tool versus alternatives, nor does it mention any exclusions or prerequisites. The intended use is only implied by the tool name and description.

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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