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Get action plan

get_action_plan
Read-only

Prioritized actions to raise the brand's AI visibility (off-page: get listed on the pages AI cites; content: answer uncovered buyer questions), ranked 20/80 like the dashboard Action plan, with steps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date YYYY-MM-DD. Default: now.
fromNoStart date YYYY-MM-DD. Default: all time.
langNoLanguage of the action texts (default en).
brandNoBrand id, name or domain (from list_brands). Optional when the account has a single brand.
limitNoMax items to return (default 10, max 50).
engineNoOptional AI engine filter, comma separated: chatgpt, gemini, perplexity, ai_overviews, ai_mode. Default: all engines.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already cover read-only safety, and the description adds useful behavioral context beyond them: the action types (off-page listing and content answers), the 20/80 ranking logic, and that steps are included. It does not disclose return format details, but no contradiction exists.

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 a single, front-loaded sentence that packs purpose, action types, ranking, and output detail without filler. It is efficient, though slightly dense with parentheticals and could be marginally clearer.

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?

For a read-only tool with 100% schema coverage and safety annotations, the description adequately explains the returned content. However, with no output schema and many similar siblings, it should more explicitly help the agent choose this tool and understand the return structure.

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 the schema fully documents all six parameters. The description adds no parameter-specific syntax, defaults, or filtering behavior beyond what the schema already states, making the baseline of 3 appropriate.

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 clearly states the resource: prioritized actions to raise AI visibility, with off-page and content types and 20/80 ranking. It does not name a sibling tool as an alternative or explicitly contrast with get_easiest_wins or get_prompt_gaps, so it falls 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 guidance on when to use this tool versus the many similar siblings such as get_easiest_wins or get_prompt_gaps. The phrase 'like the dashboard Action plan' implies a dashboard-equivalent use case but does not provide explicit when/when-not criteria.

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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