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Open a Kavel generator

open_in_kavel

Get a direct URL to a Kavel generator page with the right mode and tuned prompt, so users can create AI photo or video effects using free-tier models.

Instructions

Get the direct URL to a Kavel tool's generator page (on www.kavel.ai), pre-set to the right mode with a tuned prompt, so the user can generate the result. Free-tier models let users generate without paying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYesThe tool slug from list_kavel_tools, e.g. 'ai-hairstyle-changer'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.1
    • changedInput schema / properties / tool / description
      Previous value: -"The tool slug from list_kavel_tools, e.g. 'ai-wedding-photo-generator'."New value: +"The tool slug from list_kavel_tools, e.g. 'ai-hairstyle-changer'."
  2. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations, so the description must carry the load. It usefully discloses that the tool returns a URL on www.kavel.ai rather than generating anything itself, and that the page is pre-set to a mode plus a tuned prompt. It says nothing about auth, rate limits, or how the mode/prompt are chosen given only a slug is accepted.

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?

A single sentence with the action front-loaded and no filler. Slightly compressed into one long clause chain, but nothing is wasted or repeated.

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 one-parameter tool with no output schema, it covers the essential return value (a URL) and outcome. It leaves a gap around the name/behavior mismatch ('open_in_kavel' vs. merely returning a URL) and how the claimed pre-set mode and tuned prompt are controlled from a single slug.

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% and the schema itself explains the 'tool' slug and its source (list_kavel_tools), so the baseline is 3. The description adds no format or source detail beyond what the schema already provides.

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?

Uses a specific verb+resource: 'Get the direct URL to a Kavel tool's generator page'. It is distinguishable from list_kavel_tools and list_kavel_models, though it does not explicitly name build_kavel_prompt even though the 'tuned prompt' clause is the closest sibling overlap.

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?

The intent is implied ('so the user can generate the result') and the free-tier note hints at a use case, but there is no explicit when-to-use/when-not-to-use and no stated ordering relative to build_kavel_prompt or list_kavel_tools.

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