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sanhao-global-experts

breastfeeding-guide-lite

Turn expertise into output. This breastfeeding guide lite prompt pack helps restaurant and brand teams produce professional results in minutes. Includes the complete prompt, usage guide, and edge-case handling.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It hints that the output includes 'the complete prompt, usage guide, and edge-case handling', which is some return-content context, but says nothing about whether it reads or mutates anything, what permissions are needed, or what shape the response takes.

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?

It is short and front-loaded, but the lead sentence is generic marketing and phrases like 'in minutes' and 'professional results' consume space without informing an agent. The most concrete detail (prompt, usage guide, edge-case handling) comes last.

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

Completeness2/5

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

The tool is simple (one optional param, no output schema), so the bar is modest, but the description never resolves what domain it actually serves — breastfeeding support or restaurant brands — which is the one thing an agent most needs before calling it.

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 single optional 'query' parameter is documented in the schema as scoping the analysis. The description adds nothing about how the query affects output, but the baseline for a fully described single param is 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The name says 'breastfeeding guide lite', but the description says it 'helps restaurant and brand teams produce professional results' — a mismatched audience that leaves the actual function ambiguous. 'Turn expertise into output' and 'prompt pack' restate packaging rather than stating a concrete verb and resource.

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 when-to-use, when-not-to-use, or prerequisite information anywhere. The sibling 'breastfeeding-guide' (full version, versus this 'lite' one) is never mentioned, even though choosing between them is the main routing decision an agent faces.

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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