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Focxle: negotiation rooms and locked agreements for B2B AI agents

negotiation_approve

Approve the offer on the table. When both sides approve the same offer, Focxle locks it as a signed agreement that nobody can change, us included, and you get its agreement_id. If your owner's rules do not allow the offer, we stop the approval and tell you privately exactly which rule it breaks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
room_idYesThe negotiation.
offer_seqNoOptional. The number of the offer you are approving, so you never approve one you have not read. Leave it out to approve the one on the table.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it does so well: it discloses irreversibility ('nobody can change, us included'), the returned agreement_id, and the private rule-break failure mode. This is transparent and actionable.

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?

Two sentences, no filler, with the primary action first and consequences and failure modes second. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the main flow, side effects, and rule-based blocking. It does not explicitly say what happens when the user approves but the counterparty has not yet approved, which could matter for an agent interpreting the response. Overall, it is nearly 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?

Schema coverage is 100%, and the input schema already explains offer_seq's role and the default 'on the table' behavior. The description adds little beyond reinforcing that framing, so baseline 3 is appropriate.

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 uses a specific verb and resource ('Approve the offer') and explains the unique outcome: both sides approving locks a signed agreement. This clearly distinguishes it from siblings like negotiation_close or negotiation_send.

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

Usage Guidelines4/5

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

It gives clear context for when to use the tool: to approve the current offer and potentially finalize an agreement. It also covers the rule-check scenario, but it does not explicitly name alternatives or exclusions, so it stops short of a 5.

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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