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Pic-Time MCP Server and API by Cotlet

List gallery visitors in Pic-Time

pic_time_list_gallery_visitors
Read-onlyIdempotent

List gallery visitors in the user's own Pic-Time account from ChatGPT, Claude or any AI agent. Returns how to do it in Pic-Time step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Pic-Time Cloud Browser. Pic-Time's official API: Pic-Time publishes no API or developer docs.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, and the description is consistent with them ('opens nothing by itself'). It adds real context the annotations cannot convey — that the response is a human-readable procedure and that no API exists, forcing browser automation — but says nothing about response shape, step count, or account/permission prerequisites.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The workflow and no-API caveat are front-loaded and useful, but 'from ChatGPT, Claude or any AI agent' is filler and the closing line is awkwardly phrased ('Pic-Time's official API: Pic-Time publishes no API or developer docs'), repeating the word Pic-Time three times in one clause. The middle sentence is long and packs two distinct ideas (returns instructions / opens nothing) into one run-on.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description carries the burden of explaining what comes back, and it does state that the return is a step-by-step guide covering screens, buttons and fields. What remains thin is how the agent identifies which gallery is meant and whether any prerequisite setup (Cloud Browser session, login state) is required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is no parameter semantics for the description to compensate for; the baseline for a 0-param tool applies. The description does not need to explain inputs, and it correctly implies all context comes from the conversation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource (list gallery visitors) scoped to the user's own Pic-Time account, and importantly clarifies that it returns step-by-step instructions rather than the visitor data itself. That instruction-vs-data distinction separates it from the cotlet_browser_* siblings that perform the actual work, though the opening sentence alone could momentarily read as a data-fetch tool.

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

Usage Guidelines4/5

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

It gives a clear workflow: call this to get the procedure, then execute it with the cotlet_browser_* tools in the user's Pic-Time Cloud Browser. It also explains why this path is necessary (no official API or developer docs). It stops short of explicit when-not guidance or naming the single best starting browser tool.

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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