Skip to main content
Glama
asyntai

@asyntai/mcp

Official

Add an image the chatbot can show

add_image

Add an image to a chatbot for display in user conversations. Provide an image URL and optional website ID to make the image available for the assistant to show.

Instructions

Add an image the chatbot may show. The description is what the AI reads to decide when the image answers the question, so describe what it shows and when it helps.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlYesAddress of the image.
website_idNoNumeric id of the website, from list_websites. Omit to use the account's primary website.
descriptionYesWhat the image shows and when the chatbot should send it.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

B3/5.0
Behavior2/5

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

Discloses only that it adds an image; no mention of persistence, overwrite behavior, URL validation, or side effects. Annotations only provide false hints, so the description carries the burden and doesn't meet it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, but the second sentence is meta-commentary about the description parameter and overlaps with the schema; it could be tightened without losing core meaning.

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?

For a simple create-like operation with no output schema, it states the basic action and key parameter nuance, but omits return behavior, errors, and usage context.

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

Parameters4/5

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

Schema covers all three parameters with descriptions; the tool description adds extra semantic context for the description parameter ('what the AI reads to decide when the image answers the question'), going beyond the schema's basic text.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States 'Add an image the chatbot may show' with a clear verb and resource, distinguishing it from list_images/delete_image. The second sentence is meta-instruction about the description parameter and slightly muddies the tool-level purpose.

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 add_knowledge_text/add_product/add_webhook, no prerequisites, and no mention of how to decide among image-related operations.

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

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/asyntai/mcp-bridge'

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