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Generate a content brief

generate_content_brief

Run a content analysis on one page for one search term: scores it against the pages actually ranking and produces a working brief.

Uses 1 of the plan's monthly content analyses. Takes about a minute — fetch the result with get_content_brief.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe page to analyze.
keywordYesThe search term to score the page against.
project_idYesRanking id from list_projects

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkYes
reasonYes
run_idYes
startedYes
verdictYes
target_idYes
project_idYes

TDQS

A4.5/5.0
Behavior5/5

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

With all annotations false, the description carries the behavioral burden and meets it: it discloses a quota-consuming side effect, async timing ('Takes about a minute'), and deferred result retrieval. These are exactly the non-obvious behaviors an agent needs to know before invoking.

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?

Three short sentences front-load the purpose and then add only high-value operational details (quota, latency, retrieval sibling). No filler or repeated schema content.

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?

The description covers the complete invocation lifecycle for an async, quota-consuming tool: what it does, what it costs, how long it takes, and how to obtain the result. With an output schema present, no return-value documentation 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?

Schema coverage is 100%, so the baseline applies; the parameter descriptions already define url and keyword accurately. The phrase 'against the pages actually ranking' adds slight SERP context beyond the schema, but not enough to raise the score.

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 opens with a specific action and resource: 'Run a content analysis on one page for one search term' and clearly states the output ('produces a working brief'). It distinguishes itself from sibling get_content_brief by explicitly saying the result is fetched with that tool.

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

Usage Guidelines4/5

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

It communicates the use context: one page per search term, one monthly analysis consumed, and a one-minute wait before retrieving via get_content_brief. It does not explicitly contrast against other generation siblings like generate_report or get_content_action_plan, so it falls just short of a full 5.

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