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sanhao-global-experts

so-alert-check-tool

Turn expertise into output. This alert check tool 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

C2/5.0
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 disclosure burden. It hints at the deliverable ("complete prompt, usage guide, and edge-case handling") but says nothing about whether this is a read-only generation step, whether it depends on external alert data, or what form the response takes when the optional query is omitted.

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?

Three sentences, and the first two are pure advertising that convey no operational information. The one useful fragment — the list of included artifacts — is buried at the end rather than front-loaded.

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?

With no annotations and no output schema, the description must explain the tool end to end, and it leaves the core question unanswered: what is being checked and what the agent gets back. For a tool sitting in a dense family of alert/deploy/inspect check-gen-tpl variants, that omission is disqualifying.

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?

The single parameter has full schema description coverage ("Optional user query to scope the analysis"), so the schema already does the work. The description adds nothing about how a query should be phrased or what scoping changes, leaving this at the baseline for high-coverage schemas.

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 text restates the tool name ("alert check tool") and layers marketing copy ("Turn expertise into output", "produce professional results in minutes") without stating what an alert check actually does or what output it produces. It never defines "alert" or clarifies the verb/action, so an agent cannot distinguish it from so-alert-gen-tool or so-alert-tpl-tool on purpose grounds.

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 preconditions, and no mention of the adjacent siblings (so-alert-gen-tool, so-alert-tpl-tool, so-deploy-check-tool) that share the same prefix. The only audience cue, "restaurant and brand teams", is a marketing framing rather than an invocation condition.

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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