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sanhao-global-experts

flow-polish-tool

Save hours every week. This flow polish tool 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

C2/5.0
Behavior1/5

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

No annotations exist, so the description carries the full burden, yet it discloses nothing about execution: no output shape, no side effects, no constraints. The only behavioral statement ('no setup, works in any LLM chatbot') is a compatibility claim, not information an agent can act on.

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 opening sentence 'Save hours every week' is pure filler, and the remaining sentences are value propositions rather than specification. It is short, but none of the wording earns its place by informing invocation.

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?

With no annotations and no output schema, the description must explain what the tool does and returns, and it does neither. An agent reading it knows only that it is a 'prompt and operating playbook' for restaurant/brand growth, which is insufficient to call it correctly against ~500 siblings.

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% for the single optional 'query' parameter, so the schema already carries the parameter meaning. The description adds nothing about the query, so baseline 3 applies.

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 or resource. 'This flow polish tool toolkit gives you a battle-tested prompt and operating playbook' is marketing framing that restates the name and gestures at 'restaurant/brand growth' without saying what the tool actually produces or transforms. An agent cannot distinguish it from siblings like flow-write-tool or flow-tpl-tool.

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 versus the many flow-* alternatives, no prerequisites, and no exclusions. 'Save hours every week' and 'No setup, works in any LLM chatbot' are sales claims, not routing guidance.

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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