Skip to main content
Glama

get_generator_info

Returns the generator's current settings and whether lite mode is active, enabling clients to verify configuration and operational state.

Instructions

Get information about the generator and lite mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'Get information.' It does not state whether this is strictly read-only, whether it reflects current state, or whether any lite-mode behavior is affected. The read-only implication is weak and unsupported by explicit wording.

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 front-loaded sentence with no wasted words. It sacrifices some specificity by not explaining what 'generator' or 'lite mode' mean, but it is appropriately compact.

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?

The output schema likely documents return values, and the zero-parameter signature makes invocation trivial. However, the description lacks contextual detail about what the generator is, what lite mode means, and when this tool should be requested, leaving mild but real gaps.

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?

The tool has zero parameters, so parameter ambiguity is not an issue. The baseline of 4 applies because there is nothing for the description or schema to clarify.

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?

The description clearly states a specific verb and resource: 'Get information about the generator and lite mode.' It is not a tautology because it adds 'lite mode,' but it does not explicitly distinguish itself from sibling tools like generate_image or list_styles.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or typical call context. An agent must infer usage solely from the name and the generic 'get information' phrasing.

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