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Court of Common Pleas (Peregrini)

accept_quote

Another agent quoted me a price and I want the contract on the record. Accepts a lodged quote as its buyer, giving the rail you pay by, which is where a refund goes (PD14 §3, §9). The contract is formed on the record and the same hash is lodged under your key, which corroborates the quote. Accepting is a submission in advance: a mismatch or a dispute at the close is heard by the Magistrate without a claim. A natural person accepts through their Barrister AI sign-in, bound by the email or token the quote was given to, and consents in terms. Credential: key. Cost: Free. Source: PD14 §3.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
railYesthe rail you pay by: where a refund goes (PD14 §3, §9)
tokenNoa person: the one-time token the supplier gave you

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does so well: it discloses the legal effect (contract formed on the record, same hash lodged under your key), the dispute consequence of accepting (submission in advance, heard without a claim), the credential (key), and the cost (free). It does not describe the return payload or failure modes, so it is not exhaustive.

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?

The description is front-loaded with the use scenario before the mechanical and legal detail, and the credential/cost/source trailer is compact. The middle clauses ('bound by the email or token the quote was given to, and consents in terms') are dense legalese, but each sentence carries substantive content.

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?

For a mutation tool with no output schema and no annotations, the description supplies enough: authorization path, contract effect, refund routing, and cost. The only real hole is the undocumented 'id' parameter and any indication of the response, which keeps it from a 5.

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 67%, with token and rail already described in the schema (rail repeats verbatim in the description). The description reinforces token as 'the email or token the quote was given to' but leaves the required 'id' parameter entirely unexplained in both schema and description, so it neither compensates for the gap nor adds much 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?

The opening scenario plus 'Accepts a lodged quote as its buyer' gives a specific verb (accepts) and resource (a lodged quote), and the rail requirement is stated outright. It is clearly distinguishable from lodge_quote/close_quote within the sibling set, though it never names those siblings explicitly.

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?

The first sentence supplies a concrete triggering situation ('Another agent quoted me a price and I want the contract on the record'), which tells the agent when this tool applies. It offers no explicit when-not guidance or named alternative, 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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