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sanhao-global-experts

followup-tpl-tool

Turn expertise into output. This followup tpl 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

C2.2/5.0
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 burden and mostly fails it. 'Includes the complete prompt, usage guide, and edge-case handling' hints that the payload is a template/prompt bundle, but says nothing about how it behaves, what input it expects, or what the caller gets back.

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 short sentences, but nearly all of the text is promotional padding ('in minutes', 'professional results') that does not earn its place. Nothing operational is front-loaded, so the brevity is not a virtue here.

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 itself is simple (one optional param, no output schema), so a short description could suffice — but this one never states the actual task or expected result, leaving the agent unable to decide whether to call it or what a valid call looks like.

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 there is a single optional 'query' parameter already documented in the schema. The description adds no meaning about how the query scopes or alters the output, so the baseline of 3 applies.

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 is marketing copy ('Turn expertise into output', 'produce professional results in minutes') rather than a statement of what the tool actually does. It never says what operation the tool performs or what it returns, and the only concrete noun phrase is a restatement of the name ('followup tpl tool prompt pack'). An agent cannot distinguish its function from the many sibling *-tpl-tool variants.

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 guidance at all: nothing about when this template tool is appropriate versus followup-gen-tool, followup-write-tool, followup-check-tool, followup-audit-tool, or the other tpl siblings. The only scoping signal is an audience mention ('restaurant and brand teams'), which is not a selection criterion an agent can act on.

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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