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sanhao-global-experts

home-first-aid

Save hours every week. This home first aid toolkit gives you a battle-tested prompt and operating playbook for restaurant/brand growth. No setup, works in any LLM chatbot.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

With no annotations, the description carries the full disclosure burden. It implies a static content-retrieval tool (returns a prompt/playbook, no setup required), which is useful, but it never states what is actually returned, whether anything is generated vs. returned verbatim, or how the optional query changes behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short, but the opening line 'Save hours every week' is pure marketing and is front-loaded where the actual purpose should be. The remaining sentences are benefit claims rather than substantive definition content.

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?

For a simple one-optional-parameter tool with no output schema, the description still needs to say what the agent receives and when to pick it over its '-lite' sibling and the many brand-fnb tools. It leaves the name/content mismatch unresolved, which is a material gap for selection.

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 'Optional user query to scope the analysis'. The description adds nothing beyond that, so the baseline 3 applies rather than a higher score.

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 description says the tool supplies a 'battle-tested prompt and operating playbook for restaurant/brand growth', which does not match the name 'home-first-aid' or its sibling 'home-first-aid-lite'. An agent reading the catalog entry cannot reconcile the medical/home-safety name with the F&B growth content, so the actual purpose remains ambiguous.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no exclusions, and no mention of the obvious alternative 'home-first-aid-lite' despite it appearing in the sibling list. 'No setup, works in any LLM chatbot' is a platform claim, not routing guidance.

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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