Skip to main content
Glama
ejwhite7

@b2b-saas-inc/olli-mcp-server

create_writing_sample

Add a writing sample with title and content to train the AI on your brand voice. Optionally specify the platform for context.

Instructions

Add a writing sample to train the AI on your brand voice

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
titleYesSample title/label
contentYesThe writing sample text
platformNoPlatform this sample is from
Behavior3/5

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

With no annotations, the description carries the burden. It implies a write operation and states the high-level effect (training AI), but does not disclose specific behaviors like immediate impact, rate limits, or auth requirements. Minimal but adequate.

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?

Single sentence that is front-loaded with the verb and resource, no filler words. Every word earns its place.

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?

For a creation tool with no output schema and no annotations, the description lacks details on return values, error handling, limits, or processing semantics. It is too minimal to be fully complete.

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 description coverage is 100%, so the schema already documents all four parameters. The description adds no additional meaning beyond the schema. Baseline score of 3 is appropriate.

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?

Description clearly states the specific verb 'Add' and resource 'writing sample', and explains the purpose of training the AI on brand voice. This distinguishes it from other creation tools like create_draft or create_campaign.

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 (e.g., create_draft, create_compose_prompt). There is no mention of prerequisites, context, or exclusions.

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/ejwhite7/olli-social-mcp'

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