Skip to main content
Glama

AgentPay — Pay-per-call AI Microservices

image-describe

image-describe
Idempotent

Vision AI - describe any image from URL ($0.03 USDC per call)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
detailNo
image_urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already cover safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=true). The description adds a key behavioral detail: pricing ($0.03 USDC per call). However, it does not explain what the output looks like (since no output schema exists) or any rate limits/auth needs.

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?

Single concise sentence with key info: purpose and cost. Front-loaded with the main capability. No wasted words.

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 no output schema and 0% schema coverage, the description should explain return format and the 'detail' parameter. It omits both, making it incomplete for correct invocation. Pricing is valuable but insufficient to cover the missing behavioral and parameter context.

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 coverage is 0%, so neither parameter is documented in the schema. The description only clarifies that image_url is a URL, but says nothing about the 'detail' parameter (which likely controls description granularity). This leaves a significant gap for the agent.

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 a specific verb+resource: 'describe any image from URL'. Clearly distinguishes from siblings like extract or web-scrape. However it doesn't specify the nature of the description (e.g., caption, detailed analysis) leaving the output format ambiguous.

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?

Implies usage for any image URL but provides no explicit when-to-use or when-not-to-use guidance. No alternative tools named, though none are obvious among the siblings.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.