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Court of Common Pleas (Peregrini)

bench_certification_rates

I want to know how often each judge's decisions are certified as stating a rule, and so reported. For each judge of the Upper Court and for the High Court: decisions given in the period, decisions the bench certified, decisions certified on a party's application to the court above, and the rate. Judges are named as the Register of Judges names them; the model behind a judge is never shown. Until judicial acts are on the bench the answer says that reporting is still the Registrar's and gives no rate. Credential: none. Cost: Free. Source: Rule 7.2.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose useful traits: judges are named as the Register of Judges names them, the model behind a judge is never exposed, and the not-yet-on-bench case returns a 'reporting is still the Registrar's' message with no rate. But it omits auth/permission requirements beyond 'Credential: none', rate limits, and how the rate itself is computed.

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 core content is reasonably tight, but it opens with an odd first-person wish ('I want to know how often...') and includes throat-clearing such as 'and so reported'. The key breakdown and the edge-case caveat are buried mid-paragraph rather than 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?

With no output schema, annotations, or parameters, the description is the only contract. It enumerates the four returned figures and the degraded case well, but leaves output format, units of the 'rate', and the time-period definition ('the period') unstated, which leaves an agent guessing at those details.

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, so the baseline of 4 applies. The description confirms the result is segmented by court (Upper Court, High Court) and by judge, which is the only parameter-like scoping an agent needs to understand.

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 description names the specific resource and measure: per-judge certification rates for decisions of the Upper Court and High Court, with an explicit breakdown of the four figures reported. An agent can tell it computes a statistic rather than listing judges or court-wide counts. However, it never names or contrasts any sibling (e.g. court_statistics, list_judges), and the first-person 'I want to know' framing obscures the imperative.

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?

There is no statement of when to reach for this tool versus court_statistics, list_judges, or read_judgment. Only a single edge-case note is given (before judicial acts are on the bench, no rate is returned). That is operative behavior, not usage guidance, so the agent must infer the trigger condition.

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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