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Agent.ai MCP Server

by OnStartups

content_creator_render_article_report

Render an article into an HTML report with SEO metadata, body, links, and a checklist. Store the output in a specified variable.

Instructions

Renders a generated article as an HTML report with SEO metadata, article body, links, and checklist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_dataNo{{article}}
output_variable_nameYesresults_html
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states the output format but fails to mention side effects, state changes, or requirements (e.g., input must be a valid article). This is insufficient for a tool with no annotation coverage.

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, concise sentence (14 words) that front-loads the action. While brief, it lacks structured details that could aid understanding. It earns a 4 for being efficient but not overly terse.

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

Completeness2/5

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

Given two parameters (one required), no output schema, and no annotations, the description is too sparse. It does not explain input formatting, return structure, or prerequisites, leaving significant gaps for an agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description does not explain the parameters beyond the schema's basic definitions. It mentions the report components but does not map them to 'report_data' or clarify the purpose of 'output_variable_name'. The description adds minimal value over the raw 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 states the action (renders), the resource (generated article), and the output (HTML report with specific components like SEO metadata, article body, links, checklist). It is distinct from sibling tools such as 'content_creator_generate_article_action' which focuses on generation.

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 guidance is provided on when to use this tool versus alternatives. It lacks prerequisites (e.g., 'Use after generating an article') or exclusions, and there is no differentiation from other render tools in the sibling list.

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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