See my public page visits
get_public_profile_statsVisits and contacts the public page got.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_public_profile_statsVisits and contacts the public page got.
| 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, so the safety profile is covered and the description carries only the burden of explaining what is returned. It hints at two data categories but says nothing about the aggregation window, whether counts are totals or time series, or whether 'contacts' means contact-form submissions, leads, or messages — all of which matter for a stats tool.
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 short, but the single sentence is ungrammatical and not front-loaded with an action verb, which impairs readability rather than delivering efficient structure. Brevity here reflects under-specification, not disciplined editing.
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?
With no output schema and no parameters, the description is the only place an agent can learn what this tool returns, and it does not say whether the result is a total visit count, a breakdown by period, contact records, or a funnel. That gap leaves the return shape essentially unknown.
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, so there is nothing for the description to disambiguate and the baseline of 4 applies. Nothing is missing on this dimension.
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 resource ('the public page') and two metrics ('visits and contacts'), but it uses no verb and is grammatically broken ('Visits and contacts the public page got'), making it read more like a label than a statement of what the tool does. It also fails to distinguish itself from close siblings such as get_public_profile and get_leads_stats, which plausibly overlap with 'contacts'.
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 guidance on when to call this instead of get_public_profile, get_leads_stats, get_checkout_funnel, or get_referrals. An agent must guess between several analytics-adjacent siblings with only this terse label to go on.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.