Skip to main content
Glama

sanhao-global-experts

email-tpl-tool

AI-powered restaurant & brand intelligence pack. Instantly generate a ready-to-use email 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

D1.7/5.0
Behavior1/5

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

With no annotations, the description carries the full behavioral burden, yet it discloses nothing about side effects, permissions, generation latency, or what the 30-day support promise means operationally. "Ships as a full prompt kit with step-by-step instructions" is promotional content, not behavior an agent can rely on when invoking the tool.

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 of marketing copy, none of which is front-loaded with a concrete capability statement, and the closing support promise is pure filler for an agent. The text is short but does not earn its place.

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 generation tool with no output schema and no annotations, an agent needs to know what artifact comes back and how it is shaped; the description supplies neither. What is present is promotional framing that leaves the actual capability completely undefined.

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 coverage is 100% for the single optional "query" parameter, so the schema already documents its meaning and the baseline of 3 applies. The description adds no scoping or formatting guidance for the query, but it is not required to when the schema is complete.

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 frames the tool as an "AI-powered restaurant & brand intelligence pack" and says it will "generate a ready-to-use email tpl tool workflow," which is vague marketing phrasing rather than a specific verb plus resource. It never states what the tool actually produces (an email template? a workflow? a prompt kit?) and the restaurant/brand framing does not distinguish it from the many email-* siblings.

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 guidance on when to use this tool, when not to, or which sibling (email-gen-tool, email-write-tool, email-tpl-tool-type tools) to prefer. The only usage-ish claim, "no prompt engineering needed," describes ease of use rather than a selection condition.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.