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sanhao-global-experts

home-first-aid-lite

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use home first aid lite workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

Input Schema

NameRequiredDescriptionDefault
queryNoOptional user query to scope the analysis.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden, yet it only says it 'generates a workflow' and ships as a 'prompt kit'. It does not say what the invocation actually returns, whether it is a read-only generation, or how the optional query changes output, leaving the agent to guess at 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?

The paragraph is short but front-loads irrelevant restaurant and brand marketing rather than the actual purpose, so the informative clause appears late. Sentences such as the 30-day support promise consume space without adding anything an agent can act on.

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 zero-required-parameter generation tool with no output schema and no annotations, the description should at minimum explain what artifact comes back and how to scope it. Instead it is dominated by unrelated category branding, so an agent cannot confidently predict the outcome of a call.

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?

There is only one optional parameter and schema description coverage is 100%, so the schema already explains that 'query' scopes the analysis. The description never mentions the parameter, but with full schema coverage the baseline of 3 applies rather than a penalty.

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 does name the resource ('home first aid lite workflow'), but it leads with 'AI-powered restaurant & brand intelligence pack', which has nothing to do with first aid and actively misdirects the agent. The name/title already carries the resource, so the description's only real contribution is contradictory framing rather than a clarifying verb-plus-resource statement.

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 or when-not-to-use guidance, no mention of the closely related sibling 'home-first-aid', and no indication of what input to supply. The only contextual statements are sales copy ('no prompt engineering needed', '30-day support promise'), which do not help an agent choose between this tool and its non-lite sibling.

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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