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Content action plan

get_content_action_plan
Read-only

The project's prioritized to-do list: what to brief, which AI prompts you're losing, what's technically at risk — ordered by business impact. Computed nightly from the project's own data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesRanking id from list_projects

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kpisYes
cardsYes
verdictYes
project_idYes

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already mark the operation read-only, and the description adds meaningful behavioral context: the plan is 'computed nightly from the project's own data' and ordered by business impact. This tells the agent the data may be refreshed only nightly and that ordering is deterministic by impact, going beyond the annotation.

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?

Two short sentences front-load the core definition immediately and add only the useful cadence/data-source detail. Every phrase earns its place; no filler.

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

Completeness5/5

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

For a read-only retrieval tool with one fully documented parameter and an output schema, the description gives enough context: what the plan contains, how it is ordered, and that it is computed nightly. Nothing needed to invoke it correctly is missing.

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?

The input schema fully documents the single parameter, project_id, including its type, source ('Ranking id from list_projects'), and exclusivity. The description adds no parameter-level info, but the schema already covers it, so the baseline 3 applies.

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 explains the resource as 'the project's prioritized to-do list' and enumerates what it contains ('what to brief, which AI prompts you're losing, what's technically at risk'), so an agent can tell what it returns. It does not state a verb explicitly or name sibling tools, but the content is specific enough to distinguish from other report-style get_* tools.

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 description implies when to use the tool: when an agent needs the project's prioritized action plan, ordered by business impact. It does not explicitly mention alternatives or conditions when another tool should be used instead, so usage guidance is present but not fully explicit.

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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TDQS

A3.7/5.0
Disambiguation3/5

Most tools are distinct get_* analytics, but several overlap in purpose: get_ai_visibility vs get_share_of_voice are easy to confuse, and get_project_overview/get_content_action_plan/get_audit_summary all offer prioritized fixes. Descriptions help, but an agent could easily misselect for a generic 'what should I fix?' query.

Naming Consistency5/5

All names follow a consistent snake_case verb_noun pattern (add_, get_, generate_, list_, analyze_, research_), and the get_* prefix dominates read operations. Even win_prompt is a verb_noun and fits the style.

Tool Count2/5

27 tools is past the 25+ threshold and creates a heavy selection surface for an agent. While the SEO/AI-visibility domain is broad, many tools return overlapping 'health/fix/visibility' data and the set would benefit from consolidation.

Completeness3/5

Core workflows (projects, keywords, content briefs, audits, backlinks, AI visibility) are covered, but lifecycle gaps exist: keywords and AI prompts can be added but not removed, there is no list-AI-prompts tool, and no project creation/update is exposed. These are workable but notable missing operations.

Resources