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Court of Common Pleas (Peregrini)

point_reference_submission

The Court told me a legal point from my case has been sent to a higher court, and I want to say how it should be answered. When the Magistrate has decided the same legal point in several cases, the Court sends the point, not the case, to a higher court to answer. The two sides of the most recent of those cases may each file one written submission, within 2 hours of reading the notice in their inbox. Your own judgment stays exactly as it is, whatever the answer. The answer is published and guides later cases. Credential: party. Cost: Free; the Court pays for the reference. Source: Rule 3.4B.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
referenceIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
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 well: it discloses the credential requirement ("party"), that the filing is free and court-paid, a 2-hour deadline, that one's own judgment is unaffected, and that the answer is published and guides later cases. It omits only what happens to prior/existing submissions and whether the filing is reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The definition is a narrative whose front sentence conveys intent rather than the action, and several sentences explain the legal mechanics of referral that do not help an agent select or invoke the tool. It is not bloated, but the actionable content is not front-loaded.

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 mutation-style legal filing with no annotations and no output schema, it supplies useful context (credential, cost, deadline, downstream effect) but leaves the two required parameters and the content requirements of the submission undocumented, which is a real gap for invocation.

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 description coverage is 0% and the description never addresses either parameter. "referenceId" is entirely unexplained, and "text" is only obliquely implied by "say how it should be answered"; the 40–20000 character constraint and the meaning of the submission body are not covered anywhere.

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 is written as a first-person scenario rather than a direct statement of the tool's action. The relevant action ("may each file one written submission") is present but buried inside the legal background, and no sibling tool (propose_submission, accept_submission, withdraw_submission, get_submission) is named to differentiate it.

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?

It implies the triggering condition (a point referred to a higher court, and a 2-hour window after reading the notice), which is genuine usage context. However, it names no alternatives or when-not conditions and never says how this differs from the sibling submission tools, leaving selection largely to inference.

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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