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Critical Raw Minerals & ESG Compliance Oracle(x402)

reject_a2a_trade_deal

Reject an existing A2A trade proposal as a buyer agent, submitting structured reasoning and an optional cryptographic signature for traceable deal refusal.

Instructions

Buyer AI agent rejects an existing trade proposal with structured reasoning and optional cryptographic signature.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deal_idYesTrade deal identifier to reject
buyer_signatureNoOptional cryptographic signature
rejection_reasonNoReason for rejection
buyer_agent_addressYesBuyer agent EVM address executing rejection

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.6

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It implies a state-changing mutation but says nothing about reversibility, required permissions or authorization (buyer_agent_address, signature), the deal states that permit rejection, or the effect on escrow/other parties. Only the optional signature clue adds 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.

Conciseness4/5

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

A single, front-loaded sentence that names the actor and action immediately with no filler. It is efficient, though it could trade a few words for the missing usage/precondition guidance.

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?

For a 4-parameter mutation tool with no annotations and no output schema, the description is adequate but thin. The schema covers parameters and no return value needs explaining, yet the absence of state preconditions, authorization expectations, and side effects leaves real gaps.

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 100%, so the schema already documents all four parameters and the baseline is 3. The description marginally reinforces this with 'structured reasoning' and 'optional cryptographic signature', but adds no syntax or format detail beyond the schema.

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?

States a specific verb (rejects), resource (an existing trade proposal), and the actor (Buyer AI agent), so the operation is unambiguous. However, it does not explicitly differentiate itself from close siblings like cancel_a2a_trade_deal or propose_a2a_trade_deal, leaving the agent to infer the distinction between rejecting and cancelling.

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?

There is no when-to-use guidance, no precondition (e.g. deal must be in a proposed/open state), and no mention of the alternative cancel_a2a_trade_deal, which is a near-neighbor in the same family. The agent gets no help choosing between rejection and cancellation.

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