Skip to main content
Glama
OnStartups

Agent.ai MCP Server

by OnStartups

meeting_prep_generate_subject_line

Generate an email subject line for meeting preparation documents. Input a meeting title and receive a formatted subject line ready for use.

Instructions

Generates an email subject line for the meeting prep document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_titleNoThe meeting title to format as a subject line.
selected_meetingNoFull meeting selection string to parse title from.{{selected_meeting}}
output_variable_nameYesVariable name to store the subject line.results_subject_line
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It states 'generates' but does not mention side effects (e.g., storing a variable), permissions, or limits. The description is too brief to be transparent.

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. It is efficient but lacks any structural elements (e.g., bullet points or sections) that could improve readability. Slightly deducting for minimal structure.

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 the tool has 3 parameters and no output schema, the description should explain how parameters interact (e.g., meeting_title vs selected_meeting) and the expected output format. It provides none of this, leaving the agent underinformed.

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% (all parameters described). The description adds no extra meaning beyond the schema; it simply restates the tool's purpose. Baseline 3 is appropriate since the schema does the work.

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 uses a specific verb ('generates') and resource ('email subject line for the meeting prep document'), making the tool's function clear. It distinguishes from sibling tools (e.g., meeting_prep_analyze_meeting_relationships) by focusing on a single sub-task.

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 on when to use this tool versus alternatives (e.g., meeting_prep_generate_meeting_sections). The description omits context such as prerequisites or scenarios where this tool is appropriate.

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