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sanhao-global-experts

sph-compete-kit

Save hours every week. This sph compete kit 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

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description must carry the behavioral burden. It offers only marketing claims ('Save hours every week', 'No setup, works in any LLM chatbot') and does not disclose whether the tool is read-only, what it returns, whether it uses the query, or any side effects or limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but it is not front-loaded with the tool's purpose: it opens with the marketing hook 'Save hours every week' and includes filler like 'No setup, works in any LLM chatbot.' It is concise but misprioritized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a low-complexity tool with one optional parameter and no output schema, the description gives only a vague indication that the output is a prompt and playbook. It does not specify the platform, output format, or how the optional query changes the result, leaving material gaps for correct 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?

Schema description coverage is 100%, so the optional query parameter is already documented as 'Optional user query to scope the analysis.' The description adds no further meaning about how the query scopes the prompt/playbook, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description says it provides a 'battle-tested prompt and operating playbook for restaurant/brand growth,' which hints at the resource, but it never states a concrete action (e.g., generates, fetches, or templates) and never explains what 'sph' means or how this differs from sibling platform kits like dy-compete-kit or xhs-compete-kit.

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 comparison to alternatives. 'For restaurant/brand growth' is only a broad target domain; it does not tell an agent when this kit is preferable to another compete kit or what prerequisites are needed.

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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