Skip to main content
Glama
protosskai

chatgpt-context-mcp

by protosskai

Import ChatGPT URL

import_chatgpt_url

Import and cache a private ChatGPT conversation URL, returning the bounded context in markdown, messages, or JSON format.

Instructions

Refresh and import a private ChatGPT /c/{conversation_id} URL into local cache and return bounded context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
formatNo
max_charsNo
cache_policyNo
Behavior2/5

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

No annotations provided, so the description should fully disclose behavior. It mentions 'refresh and import' but does not clarify if it overwrites existing cache, whether it requires prior authentication, or what 'bounded context' entails. Critical side effects are omitted.

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 description is a single sentence, which is concise, but at the expense of necessary details. It front-loads the core action but omits supporting information.

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?

Given four parameters, no output schema, and no annotations, the description is grossly inadequate. It fails to explain the return format, parameter semantics, usage context, or behavioral traits, leaving the agent with insufficient information.

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

Parameters2/5

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

Schema has 0% description coverage; the description only partially explains the 'url' parameter by noting the format. It does not explain 'format', 'max_chars', or 'cache_policy' enums, leaving the agent to guess their meanings.

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 clearly states the action (refresh and import), the resource (private ChatGPT /c/{conversation_id} URL), and the outcome (into local cache, return bounded context). It distinguishes from siblings like list_chatgpt_imports and verify_chatgpt_auth.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like get_chatgpt_context or what prerequisites are needed (e.g., authentication verified by sibling). The description does not describe when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/protosskai/chatgpt-context-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server