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sanhao-global-experts

pm-progress-tpl-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use progress tpl tool workflow - no prompt engineering needed. Ships as a full prompt kit with step-by-step instructions and a 30-day support promise.

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
Behavior2/5

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

With no annotations, the description carries the full disclosure burden, yet it says nothing about what the tool returns, whether it mutates anything, or how the query scopes results. The mention of shipping 'a full prompt kit with step-by-step instructions' hints at output shape but is framed as marketing, not behavior.

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, two of which are promotional ('no prompt engineering needed', '30-day support promise') and consume space that a functional statement should occupy. The definition is neither front-loaded with a concrete verb+resource nor free of filler.

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?

There is no output schema and no annotations, so the description is the only place an agent could learn what a 'progress tpl' delivers and how the optional query affects it. It instead describes packaging and support terms, leaving the agent unable to predict the result.

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 defines it and the description adds nothing further. Baseline 3 applies; the description neither explains nor harms parameter meaning.

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 only operational phrase is 'generate a ready-to-use progress tpl tool workflow,' which essentially restates the name rather than explaining what a template-pack tool produces. The leading sentence about a 'restaurant & brand intelligence pack' describes a product bundle, not this tool's action, and never distinguishes it from pm-progress-gen-tool or pm-progress-check-tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool, when not to, or which sibling to choose instead, despite three near-identical pm-progress-* siblings in the list. 'No prompt engineering needed' is a sales claim, not usage 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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