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EUDR Compliance & TRACES-NT Agent

eudr_get_agent_budget_status

Retrieve live budget status for an agent, including spent USDC and autonomous safety quota, to monitor compliance and spending limits.

Instructions

Queries live plot quota, spent USDC, and autonomous safety budget status for the calling agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesUnique autonomous agent ID or public wallet address.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.1

TDQS

C2.9/5.0
Behavior1/5

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

No annotations exist, so the description must carry full behavioral transparency. It states 'queries' implying read-only, but does not explicitly disclose side effects, authentication requirements, rate limits, or whether any state is modified. The lack of clarity on safety or side effects is a major gap.

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, focused sentence with no redundant words. It efficiently conveys the core functionality without unnecessary details.

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 description explains what data is queried but does not specify the return format, response fields, or error scenarios. Since there is no output schema, this information is missing. It is adequate for a simple query but not fully complete.

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 100% of parameters with a clear description for agent_id. However, the tool description adds little to this—it reiterates the agent context but does not clarify expected format, validation rules, or edge cases. The high schema coverage keeps this at baseline.

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 tool's purpose with a specific verb ('queries') and defines the resources involved (live plot, spent USDC, budget safety status). It is sufficiently distinct from sibling tools like eudr_check_deforestation or eudr_estimate_compliance_cost.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 over alternatives. It does not mention preferred scenarios, prerequisites, or exclusions, leaving the agent to infer usage solely from the purpose.

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