Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

content_planner_render_plan_report

Generate an HTML report from a content calendar, showing week-by-week content briefs for planning.

Instructions

Renders a content calendar as an HTML report with week-by-week content briefs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_dataNo{{content_plan}}
output_variable_nameYesresults_html
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It states 'renders' which implies a non-destructive output generation, but it doesn't clarify side effects, required inputs (like prior plan generation), or how the report is structured. Basic transparency but insufficient for full understanding.

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, focused sentence that efficiently conveys the core purpose without extraneous words. It is front-loaded with the verb and resource, making it easy to scan.

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?

Given the tool has 2 parameters (with 0% schema description) and no output schema or annotations, the description is minimal. It explains the basic purpose but lacks details on data format, prerequisites, expected output structure, and error behavior. An agent would need additional context to use it correctly.

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%, meaning the schema provides no parameter descriptions. The description does not explain the parameters 'report_data' or 'output_variable_name' beyond what the schema (name and type) already shows. It adds no semantic meaning, so it fails to compensate for the schema gap.

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 tool renders a content calendar as an HTML report with week-by-week content briefs. It uses specific verb 'renders' and resource 'content calendar HTML report', and the detail 'week-by-week' distinguishes it from sibling tools like content_planner_generate_content_plan_action.

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?

No explicit guidance on when to use this tool vs. alternatives. The description implies it is for rendering after generation, but it doesn't state prerequisites or when not to use it. Sibling names provide some context, but the description itself lacks usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/OnStartups/agentai-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server