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sanhao-global-experts

breakup-heal-coach

Save hours every week. This breakup heal coach 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

D1.9/5.0
Behavior1/5

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

No annotations are supplied, so the description carries the entire burden of behavioral disclosure, and it discloses nothing about what the tool does with the query, what it returns, or any side effects. Worse, its stated domain (restaurant/brand growth) conflicts with its own name and framing, making the behavior actively misleading rather than merely absent.

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 text is short but front-loads marketing copy ('Save hours every week') rather than function, and the second sentence bundles two unrelated domains into one claim. Nothing is front-loaded about what the tool actually does.

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

Completeness1/5

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

For a prompt-delivery/coaching tool with no annotations and no output schema, the description must explain what the agent receives back and how to shape the query. It does neither, and the domain mismatch leaves an agent unable to assess relevance at all.

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 'query' parameter is fully documented in the schema (100% coverage), so the schema does the work. The description adds nothing about how the query scopes the analysis, but per the high-coverage baseline a 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 title-implied purpose (breakup healing coaching) is contradicted by the body text, which claims the playbook is for 'restaurant/brand growth'. The description never states a concrete verb+resource for what an invocation returns, so an agent cannot tell what calling this tool actually 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?

There is no when-to-use, when-not-to-use, or sibling routing guidance. 'No setup, works in any LLM chatbot' describes deployment, not the conditions under which an agent should select this tool over the many adjacent coaching tools in the sibling list.

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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