Skip to main content
Glama

read_client_vault

Retrieve client intelligence for ad operations: automatically resolves brand voice, ICPs, angles, objections, and profile IDs from the vault. If critical files are missing, returns explicit blockers to prevent errors.

Instructions

Read all client intelligence from the Obsidian vault for ad operations.

Auto-resolves: brand voice, ICPs, angles, objections, profile IDs. If critical files are missing, returns explicit blockers.

Args: account_id: Ad account ID. Resolved to client slug via registry. include_context: If True, also reads campaign history, assets, constraints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
include_contextNo
Behavior4/5

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

With no annotations, the description bears full responsibility. It discloses that the tool auto-resolves specific fields and returns blockers for missing files, indicating read-only behavior. However, it lacks details on permissions or side effects.

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 concise with clear sentence structure and bullet-like points. Every sentence adds value without redundancy.

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 only two parameters and no output schema, the description covers the tool's purpose, behavior, and parameter effects comprehensively. It is complete for an agent to understand selection and invocation.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully explains each parameter: account_id is resolved to a client slug, and include_context adds campaign history. This adds significant meaning beyond the schema.

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 'Read all client intelligence from the Obsidian vault for ad operations,' specifying the verb and resource. It distinguishes itself from sibling tools that focus on ad management or other read operations.

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

Usage Guidelines3/5

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

The description implies usage for reading client intelligence but does not explicitly state when to use this tool versus alternatives or when not to use it. No alternative tools are mentioned.

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/brandu-mos/konquest-meta-ads-mcp'

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