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sanhao-global-experts

mkt-sop-core

Turn expertise into output. This mkt sop core 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 exist, so the description carries the full behavioral burden and largely fails it. It hints that a prompt, usage guide, and edge-case handling are 'included' but never says what the tool actually returns, whether it invokes a model or just returns static text, or whether the optional query changes the output.

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 of promotional copy ('in minutes', 'professional results') with almost no operational content. The one potentially informative sentence about included materials arrives last instead of front-loading what the tool does.

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 single-optional-parameter tool with no annotations and no output schema, the description should at minimum explain the returned artifact and its shape. Instead it leaves the agent guessing whether this is a static template fetch or a generative prompt invocation.

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?

With one optional parameter and 100% schema description coverage, the schema already explains the optional query string, so the baseline of 3 applies. The description adds nothing about how the query scopes the analysis or what happens when it is omitted.

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 never states a concrete verb-and-resource pair; 'Turn expertise into output' and 'prompt pack' describe a marketing artifact, not an action an agent can perform. It does not distinguish mkt-sop-core from the hundreds of sibling 'sop-*' and 'mkt-*' tools, so the agent cannot tell what this tool uniquely produces.

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?

The only audience cue is 'restaurant and brand teams', which is a target user, not a usage condition. There is no statement of when to call this versus sop-gen-tool, sop-write-tool, or any mkt-* sibling, and no prerequisites or exclusions are given.

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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