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io.github.dfch/biz-dfch-asdste100mcp

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by dfch

rules_find

Read-only

Find a rule or recommendation by its exact identifier, like R1.1 or GR-8, using case-insensitive matching. Retrieves the corresponding entry from the ASD-STE100 ruleset.

Instructions

Search for rules in the ruleset by exact id.

Use this first when you know the exact rule/recommendation id. Use rules_match or rules_search if this tool returns no items.

Parameters

id_: The rule/recommendation id to search for (e.g. "R1.1" or "GR-8"), matched case-insensitively.

Returns

list[Rule] A (possibly empty) list of matching rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
id_YesThe exact rule/recommendation id to search for, e.g. 'R1.1' or 'GR-8' (case-insensitive).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds useful behavioral context: matching is case-insensitive, exact-id scoped, and the result may be empty. This goes beyond the basic safety profile without over-explaining.

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 clearly structured with a short summary, parameter documentation, and return information. It is mostly concise, though the Parameters and Returns sections duplicate information already available in the schema and output schema.

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

Completeness5/5

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

For a simple single-parameter lookup tool, the description covers the key usage scenario, fallback behavior, and result shape. With annotations and an output schema present, nothing essential is missing.

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 description coverage is 100%, and the Parameters section essentially restates the schema's description of id_. No additional semantics are provided beyond what the schema already contains, so the baseline score of 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 states a specific verb ('Search') and resource ('rules in the ruleset') with a clear scope ('by exact id'). It differentiates from siblings by naming rules_match and rules_search as alternatives for when exact-id lookup fails.

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

Usage Guidelines5/5

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

It explicitly instructs to 'Use this first when you know the exact rule/recommendation id' and says to fall back to rules_match or rules_search if it returns no items. This gives clear when-to-use and alternative guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.