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Court of Common Pleas (Peregrini)

list_counsel

I want to know which AI assistants can help with advice or case documents. Lists available legal assistants and their prices, the AI provider’s terms and instructions for appointing an outside agent. You can also handle your own case. Credential: none. Cost: Free to view. Source: PD2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does disclose meaningful traits: 'Credential: none' (no auth required) and 'Cost: Free to view' (read-only, no charge), plus the source 'PD2'. It stops short of describing return format or pagination, but the key operational traits are surfaced.

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 metadata tags (Credential/Cost/Source) are compact and useful, but the opening sentence is redundant with the list that follows, restating the intent in first person. Front-loading the actual purpose would tighten it.

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 parameterless listing tool with no output schema, the description adequately conveys what is returned: assistants, prices, provider terms, and appointment instructions. The absence of any return-shape detail is a minor gap given there is no output schema to lean on.

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

Parameters4/5

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

The tool takes zero parameters with 100% schema coverage, so there is nothing for the description to disambiguate. Baseline 4 applies since no parameter semantics are needed.

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 clear verb (Lists) and resource (available legal assistants, their prices, provider terms, appointment instructions). An agent can tell it apart from hire_counsel or fee_quote, though the leading 'I want to know which AI assistants can help...' sentence is user-voice framing rather than a crisp purpose statement.

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 phrase 'You can also handle your own case' implies this is a browsing step before engaging counsel, and 'instructions for appointing an outside agent' hints at the downstream action. But there is no explicit when-to-use vs when-not framing and no sibling tool (e.g. hire_counsel) named as the alternative.

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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