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Context Continuation MCP Server

Context Continuation MCP Server

by core3-coder
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

context_start_session

Initiate a new session to track AI development context, manage token usage, and restore conversation continuity when reaching token limits by specifying the project directory and optional session name.

Instructions

Start a new context tracking session

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "projectPath": "<projectPath>"
    },
    "name": "context_start_session"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectPathYesPath to project directory
sessionNameNoOptional session name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool starts a session but doesn't disclose behavioral traits such as what 'context tracking' involves, whether it's idempotent, what permissions are needed, or what happens if a session already exists. This leaves critical operational details unspecified.

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

Conciseness5/5

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

The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for the tool's apparent complexity, making it easy to parse without unnecessary elaboration.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'context tracking' means, what the tool returns, or how it interacts with sibling tools. For a tool that likely manages stateful sessions, this leaves too many gaps for effective agent use.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents both parameters (projectPath and sessionName) with clear descriptions. The description adds no additional meaning beyond what the schema provides, such as explaining how these parameters affect the session or their practical use cases.

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

Purpose3/5

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

The description 'Start a new context tracking session' clearly states the action (start) and resource (context tracking session), but it's somewhat vague about what 'context tracking' entails. It doesn't differentiate from siblings like 'context_restore_session' or 'context_end_session', leaving ambiguity about when each should be used.

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 is provided on when to use this tool versus alternatives. With siblings like 'context_restore_session' and 'context_end_session', the description lacks any indication of prerequisites, timing, or exclusions, leaving the agent to guess based on tool names alone.

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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