Prüfkatalog und Grenzen
get_check_catalogListe der deterministischen Regeln mit Version, Skill-Herkunft, Quellen und Prüfgrenzen.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_check_catalogListe der deterministischen Regeln mit Version, Skill-Herkunft, Quellen und Prüfgrenzen.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine context that the rules are deterministic and bundled with their skill origin and sources, but says nothing about catalog size, whether it is static/cached, or how limits are expressed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single noun-phrase sentence with no filler, and the identifying content (deterministic rules) is front-loaded. It would be marginally stronger as a full clause stating the action, but nothing is redundant.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, read-only catalog with no output schema, the description supplies what matters: it enumerates the attributes returned (version, skill origin, sources, check limits). An agent knows what it will receive and can proceed without further detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4; there is nothing for the description to disambiguate. It correctly does not waste words describing nonexistent inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific resource ("deterministische Regeln") and scope (catalog), and enumerates the fields the listing carries: version, skill origin, sources, and check limits. This clearly separates it from the analyze_*/audit_* siblings, which run checks rather than enumerate the rule set, though no sibling is named explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states what is listed but never says when to call it — e.g. before an audit to learn which rules apply or to read "Prüfgrenzen" before interpreting results. No alternatives or exclusions are given; the usage is only inferable from the word "Liste".
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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