Skip to main content
Glama

usage_quota_enforcer

Enforce usage quotas on metered resources by setting soft and hard limits, then handle overages by blocking, throttling, or charging access.

Instructions

Implement usage quota enforcement with soft and hard limits and overage handling

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
resourceYesResource being metered
hard_limitYesHard limit threshold
soft_limitYesSoft limit threshold
overage_actionNoblock
Behavior2/5

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

With no annotations, the description carries the full burden. It mentions soft/hard limits and overage handling but does not disclose what action 'implement' performs (e.g., code generation, policy creation, middleware insertion), whether it is destructive, what side effects occur, or how overage_action values like 'block', 'throttle', and 'charge' are applied.

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 sentence and efficiently mentions the core concepts. It could be more concrete, but it is concise and front-loads the main purpose.

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 the existence of siblings focused on usage tracking and dashboarding, a tool named 'usage_quota_enforcer' should clarify its relationship to them and describe its expected output or effect. With no output schema and no behavioral detail, the description is too thin for an agent to know what invoking it will actually do.

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 80%, so the parameters are largely documented. The description adds the concept of enforcement with soft/hard limits and overage, but it does not explain how the three required parameters interact (e.g., behavior between limits) or what the overage_action enum values semantically do beyond their names.

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 states a clear verb ('Implement') and resource ('usage quota enforcement') and specifies key behaviors: soft/hard limits and overage handling. However, it doesn't explicitly distinguish itself from closely related siblings like usage_tracker or plan_limits_config, and 'Implement' is somewhat vague about whether this generates code, configures a service, or enforces policy.

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 is provided about when to use this tool versus alternatives such as usage_tracker, usage_dashboard_data, or plan_limits_config. The description implies it is for setting up enforcement, but it never says when an agent should choose it over a sibling or what prerequisites exist.

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

Install Server

Other Tools

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/barnburner121/claude-plugin-marketplace'

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