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Content brief

get_content_brief
Read-only

A finished content brief for one target page: 0–100 score against the pages actually ranking, terms to add, questions to answer, suggested outline and internal links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_idYesContent target id from get_content_targets

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
briefYes
scoreYes
statusYes
keywordYes
verdictYes
scored_atYes
target_idYes
latest_runYes

TDQS

A3.8/5.0
Behavior3/5

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

The readOnlyHint annotation already communicates that this is a safe read operation, so the description does not need to restate that. It adds useful context by calling the brief 'finished' and by specifying that the score is measured against pages actually ranking, but it does not disclose behavior around stale briefs, regeneration, or data freshness. There is no contradiction with the annotations.

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 dense sentence with the core resource front-loaded before the distinguishing details. There is no filler, no repetition of the title, and every listed element adds useful information.

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

Completeness4/5

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

For a one-parameter, read-only tool with an output schema, the description covers the essential purpose and output contents well. It could be slightly stronger by explicitly routing users to generate_content_brief when no finished brief exists, but the current definition is sufficient for correct selection and invocation.

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 schema already provides 100% parameter documentation, including that target_id comes from get_content_targets. The description only reinforces that the brief is for a single target page, adding little semantic value beyond the schema.

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 clearly identifies the resource as a finished content brief for one target page and lists its concrete contents: a 0–100 score, terms to add, questions to answer, suggested outline, and internal links. The phrase 'finished' and 'one target page' distinguishes this from generate_content_brief and from broader brief-related 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 this should be used for an already-computed brief rather than for creating one, but it never explicitly states that preference. It also does not mention when to choose this over generate_content_brief or identify generate_content_brief as the alternative for creating a brief.

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.

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