Re Culture™ Public Guidance
Server Details
English And Arabic Public Guidance On Human Judgement, With Versioned Sources And Review Limits.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: list_public_guidance enumerates available guidance for a language, while get_public_guidance retrieves a specific guidance item using topic and language. The descriptions explicitly separate review scenarios from list calls, reducing misselection risk.
Both tools follow the same snake_case verb_noun pattern with a shared object: get_public_guidance and list_public_guidance. The verbs get/list are standard and predictable for retrieval versus enumeration.
Only two tools are provided for a public guidance server. This is a minimal list/retrieve surface that feels thin; additional operations like search or topic enumeration would make the set feel better scoped.
The surface covers discovery via list_public_guidance and retrieval via get_public_guidance, including language, topic, source, and review status. Minor gaps such as search or a topic index exist but are workable through the current tools.
Available Tools
2 toolsget_public_guidanceRetrieve Public GuidanceBRead-onlyIdempotentInspect
Retrieve A Versioned Re Culture™ Public Foundation, Example Set, Or Review Workflow In English Or Arabic With Source And Review Status. Use Only Topic And Language Selections.
| Name | Required | Description | Default |
|---|---|---|---|
| topic | Yes | ||
| language | Yes |
TDQS
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 useful context that results are versioned and include source and review status, but it does not describe auth needs, pagination, or other operational behavior.
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?
Two sentences, front-loaded with the retrieval purpose and followed by the input constraint. It is appropriately sized with little waste, though the unusual capitalization and trademark styling add minor noise.
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 simple read-only tool with two required enum parameters and no output schema, the description gives a reasonable summary of returned content, including source and review status. It still leaves the distinction from list_public_guidance and the meaning of the topic categories under-explained.
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?
Schema description coverage is 0%, so the description should compensate. It maps the two required enum selections to prose—foundation/example set/workflow for topic and English/Arabic for language—but does not explain what each topic returns or add meaning beyond the enum values.
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?
States a clear verb-resource pair: retrieve versioned public guidance in foundation, examples, or workflow form, in English or Arabic. It is specific enough to distinguish from a generic list operation, but it does not explicitly name the sibling list_public_guidance or explain how the two differ.
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 only usage instruction is "Use Only Topic And Language Selections," which constrains inputs but does not explain when to use this tool versus list_public_guidance. There is no explicit when-to-use context, exclusion, or alternative path.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_public_guidanceList Public GuidanceBRead-onlyIdempotentInspect
List Available Re Culture™ Public Guidance For A Selected Language. Accepts Only en Or ar; Do Not Send Review Scenarios.
| Name | Required | Description | Default |
|---|---|---|---|
| language | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds only the language restriction and the review-scenario exclusion; it says nothing about result size, pagination, or what a missing language yields.
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?
Two short sentences, no filler, with the operation stated first and the constraint second. The Title-Case styling is slightly noisy but doesn't harm parsing.
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 one-parameter read-only list tool this is close to sufficient, but with no output schema the description should at least hint at what is returned, and the "review scenarios" warning points at a workflow the agent cannot resolve without a named alternative.
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 single parameter's enum already enumerates en/ar with full JSON Schema description coverage of zero, so the schema itself is self-explanatory. "Accepts Only en Or ar" restates the enum rather than adding format, casing, or default guidance.
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?
States a specific verb and resource ("List ... Public Guidance") scoped by language, so the agent knows it retrieves a collection rather than a single item. It does not explicitly contrast with the sibling get_public_guidance, so the list-vs-single distinction must be inferred from the verb.
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?
"Accepts Only en Or ar; Do Not Send Review Scenarios" gives one exclusion, implying another tool handles review scenarios, but never names it or the sibling get_public_guidance. The when-to-use-vs-alternative guidance is implied rather than stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
get_public_guidance - First observed
list_public_guidance
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