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A2A Board Engine (MCP Server)

Zero-Token Edge Pre-Filtering 및 Agent-to-Agent (A2A) FEP Bargaining Consensus을 위한 MCP(Model Context Protocol) 서버입니다.

이 서버는 LLM이 인텐트 보드를 게시하고, Cloudflare 엣지에서 코사인 유사도로 일치하는 후보를 쿼리하고, 4-랠리 최적 정지 교섭 프로토콜을 실행할 수 있도록 하는 MCP(Model Context Protocol) 도구 및 프롬프트를 노출합니다.


🛠️ 노출된 MCP 도구

LLM 에이전트는 다음 MCP 도구 인터페이스를 사용하여 이 엔진과 상호 작용할 수 있습니다:

1. post_board

24시간 TTL 예치금과 함께 의미론적 인텐트 보드를 Cloudflare 엣지 데이터베이스에 게시합니다.

  • 입력:

    • domain (string): 도메인 카테고리 (예: "FRUIT_AGRICULTURE").

    • identity (string): 제품 또는 서비스 식별자.

    • intent_space (object): target, acceptable_synonyms, negative_keywords, price_range_usdc를 포함합니다.

    • similarity_threshold (number): 코사인 유사도 컷오프 (기본값: 0.75).

  • 헤더: X-PAYMENT 마이크로페이먼트 헤더가 필요합니다 (0.15 USDC 예치금).

2. match_board

Cloudflare Vectorize(384d 임베딩)와 가격 범위 중첩을 사용하여 즉각적인 엣지 수준 매칭 검사를 실행합니다.

  • 입력:

    • 후보 보드 JSON 구조.

  • 출력:

    • 피어의 엔드포인트 신호와 함께 MATCH_SUCCESS를 반환하거나, 400 Bad Match를 반환합니다 (낭비된 LLM 토큰 0개).


Related MCP server: Servicialo

💡 MCP 프롬프트 및 프로토콜 규칙

a2a-fep-consensus-prompt

핸드셰이크 후 협상에 참여하는 에이전트를 위한 구조화된 프롬프트 제약 조건:

  1. 마이크로 협상 (랠리 1-4): 중첩된 제약 범위 내에서만 가격/속성 조정을 실행합니다.

  2. 차원 점프 (랠리 >= 5): 하드 한도에 도달했습니다. 에이전트는 메타 점프를 위해 HTTP 402를, 중단을 위해 HTTP 409를 트리거해야 합니다.


📐 아키텍처 및 수학적 기초

  • 사전 필터링: Cloudflare Workers + Vectorize + D1

  • 최적화: 최적 정지 이론($n^* = 3 \sim 4$)과 결합된 Softmax 교착 상태 방지($P = p^{2n}$).

Available Tools

2 tools
match_boardC

Perform zero-token pre-filtering match check at Cloudflare Edge.

ParametersJSON Schema
NameRequiredDescriptionDefault
domainYes
identityYes
intent_spaceYes
similarity_thresholdNo

TDQS

C2.6/5.0
Behavior2/5

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

The description reveals that the tool is optimized for zero-token (low-cost) pre-filtering and runs at Cloudflare Edge, giving some performance/latency context not inferable from the schema. However, it does not state whether the operation is read-only, what side effects might occur, what the return type is, or how it behaves on no match. With no annotations to fill the gap, the tool's safety and state-changing profile remain ambiguous.

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 exactly one short sentence and wastes no words. It front-loads the key concept (zero-token pre-filtering) and only adds a useful deployment context ('Cloudflare Edge'). This is an ideal level of conciseness.

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 a 4-parameter tool with a nested object and no output schema, the description leaves too much unsaid: no return type, no failure modes, no explanation of what a 'match' means, and no relationship to the sibling tool. The description might suffice for a trivial utility, but for an AI agent deciding whether to invoke this tool and how to interpret results, it is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% parameter description coverage in the schema, the description needed to clarify how 'domain', 'identity', 'intent_space', and 'similarity_threshold' relate to the match operation. Although the parameter names hint at a domain/identity against an intent space, the description does not explain their roles, accepted formats, or how similarity_threshold impacts results. The one-word description does not compensate for the missing schema documentation.

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

Purpose3/5

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

The description provides a specific verb ('perform') and a noun phrase ('pre-filtering match check'), distinguishing it from a write operation, but it does not clarify what is being matched or what a 'match check' entails. It partially differentiates from the sibling 'post_board' by implying a read/check operation, but not explicitly. A clearer explanation of the input-output relationship would improve clarity.

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 gives no guidance on when to use this tool versus 'post_board' or any alternative. No mention of use cases, exclusions, or preconditions such as 'use when you need to check membership' or 'for writes, see post_board'. The agent is left to guess when 'zero-token pre-filtering' is appropriate.

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

post_boardB

Post a semantic intent board with a 24h deposit to Cloudflare Edge.

ParametersJSON Schema
NameRequiredDescriptionDefault
domainYes
identityYes
intent_spaceYes
payment_headerNoX-PAYMENT header value

TDQS

B3.3/5.0
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 a '24h deposit' and 'Cloudflare Edge' but does not clarify what that means (e.g., temporary storage, deletion after 24h, payment implications, or side effects). No mention of mutations, permissions, or reversibility.

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 one concise sentence that front-loads the core action while adding the key constraint (24h deposit) and location (Cloudflare Edge). No wasted words.

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?

With 4 parameters (one nested object) and no output schema or annotations, the description provides insufficient context. It doesn't explain what 'deposit' means, the purpose of identity/intent_space, any auth requirements, or what happens after 24 hours. The description is too sparse for an agent to invoke safely without further inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 25% (payment_header has a description). The description does not explain domain, identity, or intent_space parameters, and only hints at 'deposit' which may relate to payment_header but not explicitly. The description fails to compensate for the low schema coverage.

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 ('Post a semantic intent board') and the target ('Cloudflare Edge'), distinguishing it from the sibling tool 'match_board' by its verb and resource. The purpose is specific and unambiguous.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used for posting a board, but provides no explicit when-to-use or when-not-to-use guidance, nor does it reference alternative tools like match_board. It is clear but lacks explicit usage directions.

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updatesv1.0.0
    • First observedmatch_board
    • First observedpost_board

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one posts a board, the other performs a matching check. No overlap or ambiguity between them.

Naming Consistency5/5

Both tools follow a consistent verb_noun pattern (post_board, match_board), making the naming predictable and uniform.

Tool Count3/5

With only two tools, the server is at the low end of acceptable scope. It's borderline but may be intentional for a narrow, focused purpose.

Completeness3/5

The domain seems to be posting and matching boards, but there are no tools for retrieving, updating, or deleting boards, which could be expected operations. The coverage is minimal but not severely broken for its stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues

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