About Global Connect Show
about_global_connect_showWhat GCS is, who it is for (brands building international trust and media visibility), and the main links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
about_global_connect_showWhat GCS is, who it is for (brands building international trust and media visibility), and the main links.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds useful information about what is returned (an explanation of the offering, audience description, and link collection), but gives no detail on the format or size of those links. This extra information is moderate against a low bar.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is a single compact sentence that lists the return contents early. It does not waste words, and it is appropriately brief for a static informational tool, although the parenthetical about audience could have been trimmed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description carries the burden of telling the agent what comes back. It names three content categories, which is decent, but 'the main links' is vague: the agent cannot know whether it gets URLs, labels, or a nested structure. A short note on the return shape would complete it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, and the schema confirms that, so there is nothing to clarify. The baseline for parameter-free tools is 4, and nothing in the description creates confusion about inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
It states the content of the response precisely: what GCS is, its target audience (brands seeking international trust and media visibility), and its main links. This differentiates it from siblings like get_registration_form or subscribe_to_newsletter, which serve transactional purposes. The only weakness is that no explicit verb is used ('About...' rather than 'Returns an overview of...').
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives no explicit when-to-use guidance or references to alternatives. However, the orientation-style content (overview plus audience plus links) implies that it is the entry point for agents that need general context before taking action. This is usable but not explicit enough; naming a trigger such as 'Use this first when the user is new to GCS' would raise the score.
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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