Skip to main content
Glama
keviocastro

Paperclip AI Adapter for Antigravity CLI

by keviocastro

paperclip_set_agent_budget

Set a daily, weekly, or monthly budget limit for an AI agent to manage and control spend.

Instructions

Set spending budget limit for an agent

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitYesBudget limit amount
periodNoBudget period
agentIdYesID of the agent

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
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 disclosing behavior. It only says 'set spending budget limit' which implies mutation but does not disclose side effects (e.g., whether existing limits are overwritten), permission requirements, or what happens if period is omitted. The behavioral impact is underexplained.

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 concise sentence that immediately conveys the core action. It is front-loaded with the verb and resource, containing no superfluous content.

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 tool with three parameters (two required) and no output schema or annotations, the description is too sparse. It does not explain the optional period semantics, the effect of setting a limit, or what the agent should expect in the response. An agent would need to guess at the full behavior.

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 covers all parameters with descriptions (100% coverage), so the description adds no additional semantic value. The baseline of 3 applies since the schema already documents each parameter's meaning; the description does not clarify units, default behavior for optional period, or the relationship between limit and period.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (set) and the resource (spending budget limit for an agent), with a specific verb and object. It distinguishes itself from sibling tools like update_agent by focusing on the budget limit specifically, making the tool's purpose unambiguous.

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 on when to use this tool versus alternatives such as update_agent or create_agent. The description does not mention any preconditions, selection criteria, or exclusion conditions, leaving the agent to infer usage context.

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