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Glama

get_lingbot_creation_link

Get the Lingbot creation URL for image or video workflows. Specify the mode to retrieve the right link and start generating content.

Instructions

Get the Lingbot creation URL for an image or video workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoimage

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations exist, so the description carries the full disclosure burden, and it delivers almost nothing beyond purpose. It does imply a URL is returned, but says nothing about whether the link is authenticated, scoped, expiring, or how the mode affects the result.

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?

One front-loaded sentence with no filler. It is appropriately sized, though its brevity is also why usage and behavioral detail are missing.

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-optional-parameter retrieval tool with no output schema, name plus purpose plus the mode hint is roughly the minimum viable set. Missing sibling differentiation and any note on link lifetime or auth leaves it just adequate.

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 single 'mode' parameter has 0% schema description coverage, and the description's phrase 'image or video workflow' is the only place its two enum meanings are tied to an effect. That partially compensates, but no default behavior or other semantics are explained.

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?

Specific verb 'Get' plus a named resource ('Lingbot creation URL') and a scope qualifier ('for an image or video workflow'). It is clearly not the info or model-listing tool, though it never explicitly names the siblings to sharpen the distinction.

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 statement of when this should be used rather than get_lingbot_info or list_lingbot_models, and no prerequisites or exclusions. The agent must infer the trigger entirely from the name and purpose sentence.

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