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sanhao-global-experts

brand-positioning-canvas

Save hours every week. This brand positioning canvas 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 provided, so the description should carry the full behavioral burden. It says only that the toolkit provides a "battle-tested prompt and operating playbook" and requires "no setup"; it does not disclose what the tool actually returns, whether it generates content, any side effects, or operational constraints.

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?

The description is short but front-loads marketing copy ("Save hours every week") and a setup claim ("No setup") that do not help an agent invoke the tool. The functional information is buried in vague promotional language rather than structured for tool selection.

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 simple one-parameter tool with no output schema, the description still needs to clarify what the canvas produces and how the optional query influences it. Instead, it offers only a sales pitch and does not explain the output or workflow.

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 the single optional "query" parameter is documented in the schema. The description adds no additional meaning about how to use or format the query, so the baseline of 3 is appropriate.

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 calls this a "brand positioning canvas toolkit" and mentions a "prompt and operating playbook," but it never states a concrete action, output, or resource the agent can expect. It relies on promotional phrasing rather than a specific verb+resource, and gives no differentiation from the many sibling brand/restaurant tools.

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 guidance on when to use this tool, when not to use it, or which sibling tool to choose instead. The only contextual claim is "works in any LLM chatbot," which does not help an agent select it over alternatives such as brand-core, brand-strategy-planner, or brand-fnb-playbook.

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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