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sanhao-global-experts

weekly-tpl-tool

Save hours every week. This weekly tpl tool 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

C2.2/5.0
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 behavioral burden, yet it discloses nothing about what the tool actually returns (a prompt template? a plan?), whether it is a pure read/generation, or how the optional query affects the result. The only behavioral claim, 'No setup', is about deployment rather than runtime 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?

Three short sentences, but they are promotional filler rather than front-loaded functional information. 'Save hours every week' and 'battle-tested' consume prime opening space with content an agent cannot 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?

There is no output schema, so the description is the only place to explain what a caller receives, and it substitutes a sales pitch for that explanation. For a template/playbook tool sitting among dozens of near-identical siblings, this leaves the agent without enough information to choose or call it confidently.

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 coverage is 100% for the single optional 'query' parameter, so the schema already documents its meaning. The description adds no further semantics about how the query scopes the output, which is the baseline-3 case when the schema does the work.

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 ('Save hours every week', 'battle-tested', 'No setup') rather than a statement of what the tool does. The nearest thing to a purpose statement, 'gives you a prompt and operating playbook for restaurant/brand growth', is vague about the operation and never distinguishes this from the many sibling template tools such as weekly-gen-tool, weekly-topic-planner, or weekly-audit-tool.

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, no exclusions, and no named alternative among the extensive weekly-* and *-tpl-* siblings. 'Works in any LLM chatbot' describes the delivery context, not the invocation conditions an agent needs.

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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