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get_operating_context

Read-only

Retrieve the operating context to view operator doctrine and instructions. Get a preview with project registry and defaults, or fetch a full doctrine section by name.

Instructions

Read the server-served operating context (v2.5.1): the operator-owned doctrine distributed to every connected client. Without arguments returns the preview tier — context_revision, instructions_summary, project_id registry (+ enforce mode), @auto defaults, and doctrine section names. Pass section to fetch one section's full body. Read-only: the context is edited by the operator on the filesystem (~/.cpersona/operating-context.toml), never via MCP.

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": "get_operating_context"
  }
}

Input Schema

Name	Required	Description	Default
`section`	No	Doctrine section name to fetch in full (from doctrine_sections). Empty = preview tier.

Schema Changelog

Changes observed during successful MCP inspections.

Addedv2.5.2Jul 29, 2026

TDQS

A4.7/5.0

Behavior5/5

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

The description not only aligns with the readOnlyHint annotation but adds significant context: the context is edited on the filesystem (~/.cpersona/operating-context.toml), never via MCP. This discloses the source of truth and mutation path, which annotations alone do not provide.

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?

Three concise sentences, front-loaded with the core purpose, followed by mode details and behavioral note. No wasted words. Structure is logical: what, how, important note.

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

Completeness5/5

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

Given one optional parameter, no output schema, and full annotations, the description covers all necessary aspects: return types (preview tier components, full section body), usage modes, and behavioral constraints (read-only, filesystem editing). It is sufficient for an AI agent to correctly invoke this tool.

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?

Schema coverage is 100% with a description for the 'section' parameter. The description adds value by explaining the default behavior (preview tier) and that the section is from 'doctrine_sections'. It clarifies the parameter's effect beyond the schema's own description.

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

Purpose5/5

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

The description clearly states the tool reads the 'server-served operating context' with a specific version (v2.5.1). It identifies the resource and its nature as 'operator-owned doctrine'. This is specific and distinct from sibling tools like 'get_profile' or 'get_contents'.

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?

The description explicitly states the two modes: without arguments returns the preview tier, and with a 'section' argument returns the full body. It mentions read-only and that editing is done via filesystem, not MCP. While it doesn't contrast with siblings, it provides clear usage context.

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