Founder-led AI visibility offer
founder_ai_visibility_offerThe founder-led AI visibility service: the problem it solves, the four-part system, the three tiers and who it is for.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
founder_ai_visibility_offerThe founder-led AI visibility service: the problem it solves, the four-part system, the three tiers and who it is for.
| 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?
Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. Beyond that, the description adds only a marketing-style content outline; it does not clarify what the tool actually returns (narrative text, structured offer data, links) or how the content is delivered.
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?
A single, efficient sentence with no redundant filler. The colon-list structure front-loads the resource identity and enumerates the payload compactly.
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?
For a parameterless, read-only content tool with no output schema, the description covers roughly what content is available but says nothing about the form or shape of the response, which is the main remaining unknown for an agent deciding whether to call 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 description coverage is 100%, so there is nothing for the description to compensate for. Per the baseline for parameterless tools, a 4 is appropriate.
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?
The description names a specific resource ('the founder-led AI visibility service') and enumerates the content it covers (problem, four-part system, tiers, audience), so an agent can guess it returns marketing/offer content. However, there is no verb describing the action (retrieve? display? describe?), leaving the operation type implicit, and no sibling is referenced to differentiate it from wise_mango_services or free_resources.
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?
There is no when-to-use or when-not-to-use guidance, and no alternative tool is named. The sibling set contains overlapping content-style tools (wise_mango_services, free_resources), so the absence of routing rules is a real gap.
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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