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ctxshot-mcp

ctxshot-mcp

by G12789
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Daily session brief

session_brief

Packs compact project context from git diff into a file, enabling AI agents to understand the project structure and start or switch coding tasks with low token cost.

Instructions

Pack compact context with git diff and write to .ai/context.md in the project root. Call when starting a new AI coding session or switching tasks.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "session_brief"
  }
}

Input Schema

NameRequiredDescriptionDefault
rootNoProject root (default: server cwd)
outNoOutput file relative to root (default .ai/context.md)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations provided, so description carries full burden. It discloses that it writes to a file using git diff, but does not mention whether it overwrites, if a git repo is required, or any side effects. Lacks important safety details for a write operation.

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?

Two sentences, no extraneous information. Front-loaded with the action and purpose, and ends with usage guidance. Highly concise.

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

Completeness3/5

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

Given no output schema and two optional parameters, the description covers the basic purpose and usage context. However, it omits details like whether the file is overwritten, the format of the packed context, and dependencies (e.g., git). Marginally adequate.

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 baseline is 3. Description does not add much beyond the schema's parameter descriptions, but does hint at defaults (e.g., output file relative to root). Not enough to raise the score.

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?

Clearly states it packs compact context with git diff and writes to .ai/context.md. Differentiates from sibling tools by specifying a specific output file and use of git diff, though does not explicitly contrast with them.

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?

Explicitly says when to call: starting a new AI coding session or switching tasks. Does not provide when-not-to-use or alternative tools, but the given context is clear.

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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