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ejwhite7

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

improve_content

Improve existing social media posts by applying AI-driven changes based on your instructions, such as making content more concise or adjusting tone for specific platforms.

Instructions

Improve existing post content using AI

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspace_idYesWorkspace slug or UUID
contentYesExisting content to improve
instructionYesHow to improve it, e.g. "make it more concise"
platformNo
Behavior2/5

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

The description does not disclose any behavioral traits beyond the basic action. No mention of AI behavior, potential mutations, or error conditions. Since no annotations exist, the description carries full burden but falls short.

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, clear sentence of 6 words, front-loading the key information. It is concise but could benefit from additional context without losing efficiency.

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?

The tool lacks an output schema and behavioral details. For a content-improving tool, the description should specify return value (e.g., improved content) and any side effects. The current text is too minimal for an agent to fully understand the tool's behavior.

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 input schema already describes the parameters (workspace_id, content, instruction, platform) with definitions and examples. The tool description adds no extra semantic meaning beyond the schema. With 75% schema description coverage, baseline 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?

The description clearly states the action (improve), the resource (existing post content), and the method (using AI). It effectively distinguishes from sibling tools like generate_post and create_draft.

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 such as generate_post or create_draft. There are no prerequisites, exclusions, or context hints.

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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