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update_usage_limit

Modify usage limit configurations for tokens, requests, or cost with daily, weekly, or monthly periods in Portkey Admin.

Instructions

Update an existing usage limit's configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique identifier of the usage limit
nameNoNew name for the usage limit
valueNoNew limit value
metricNoNew metric to limit
periodNoNew time period for the limit
statusNoUsage limit status
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Update' implies a mutation operation, the description doesn't specify whether this requires admin permissions, whether changes are reversible, what happens to existing configurations not mentioned, or any rate limits/constraints. For a mutation tool with zero annotation coverage, this is a significant gap in behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for what it communicates and follows a clear subject-verb-object structure.

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?

For a mutation tool with 6 parameters and no annotations or output schema, the description is insufficiently complete. It doesn't address behavioral aspects like permissions, side effects, or error conditions, nor does it explain what constitutes a valid 'configuration' update. The agent would need to guess about many important contextual factors.

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 schema description coverage is 100%, meaning all parameters are documented in the input schema itself. The description adds no additional parameter semantics beyond what's already in the schema (e.g., it doesn't explain relationships between parameters or provide examples). Given the high schema coverage, a baseline score of 3 is appropriate.

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 the verb ('Update') and resource ('an existing usage limit's configuration'), making the purpose unambiguous. However, it doesn't differentiate from sibling tools like 'update_rate_limit' or 'create_usage_limit', which would require more specificity about what distinguishes this particular update operation.

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 like 'create_usage_limit' or 'delete_usage_limit'. There's no mention of prerequisites, required permissions, or contextual factors that would help an agent decide when this is the appropriate tool to invoke.

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

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