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Glama

sanhao-global-experts

ai-drama-workflow-pro

Turn expertise into output. This drama workflow pro 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?

With no annotations, the description carries the full behavioral burden. "Includes the complete prompt, usage guide, and edge-case handling" hints at the payload contents, but nothing states whether the tool fetches a static pack, generates content, requires auth, or has side effects — leaving the agent unable to predict the call's 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 two of them are pure filler: "Turn expertise into output" conveys no information and "produce professional results in minutes" is unsubstantiated advertising. The only substantive content — what the pack contains — sits at the very end.

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?

Although the schema is trivial and no output schema exists, an agent finishing this description still cannot answer the two questions that matter: what artifact is returned and when to pick this tool over the many adjacent drama tools. The definition is incomplete for even a one-parameter tool.

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 optional parameter has 100% schema description coverage ("Optional user query to scope the analysis"), so the baseline of 3 applies. The description adds nothing about how a query influences the returned pack or what an unscoped call yields.

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 rather than a statement of operation: "Turn expertise into output" and "prompt pack" never say what the tool actually does when invoked (return a prompt template? generate a drama script? run a workflow?). Against a sibling list crowded with explicit drama tools (short-drama-script-generator, ai-shortdrama-replica, drama-account-operation, boss-drama-template), it offers no basis for differentiation.

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 and no named alternative. The only audience signal, "restaurant and brand teams," is promotional framing, not a selection condition 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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