Skip to main content
Glama

Meta Ads MCP by InsightfulPipe

Ads Setup Helper

query_contexts
Read-only

Helper for planning InsightfulPipe ads data queries.

Step 1: request='accounts' – Retrieve workspace_id, brand_id, ad_account_id, other source metadata, AND available_actions (all tables you can query).

Step 2: request='actions_details' with actions=['xxxxxx', 'xxxxxx', 'xxxxxx'] – REQUIRED before querying. Replace with actions from available_actions to get the exact request body, required identifiers, fields, time ranges, and notes for each action.

Optional: request='available_actions' – Standalone call to list all available tables/actions (already included in accounts response).

Optional: request='brands' with brand_id + workspace_id to pull brand guidelines.

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": {
      "request": "<request>"
    },
    "name": "query_contexts"
  }
}

Input Schema

NameRequiredDescriptionDefault
actionsNo
requestYes
brand_idNo
platformNo
workspace_idNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

readOnlyHint=true is consistent with the description, which is framed entirely as retrieval/planning. It additionally discloses what each request returns (workspace_id, brand_id, ad_account_id, available_actions; request body, required identifiers, fields, time ranges, notes), which is real value beyond the annotation. It says nothing about error handling or whether 'accounts' can return empty, so not a 5.

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

Conciseness4/5

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

The numbered step layout front-loads the mandatory path and pushes optional calls below, which is the right ordering. It is slightly long for the amount of content, but every line maps to a distinct request mode rather than padding.

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

Completeness4/5

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

With an output schema present, the description doesn't need to explain return shapes, and it correctly spends its words on the call sequence instead. The only incompleteness is the undocumented `platform` parameter and no note on what happens if actions_details is skipped.

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 description coverage is 0%, so the description has to carry the load, and it largely does: each of the four enum values of `request` is explained, `actions` is shown with example syntax and its required relationship to available_actions, and brand_id/workspace_id are tied to the 'brands' flow. The `platform` parameter is never mentioned, which is the one real gap.

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 states a specific role: a setup/discovery helper for planning InsightfulPipe ads queries, with named request modes ('accounts', 'actions_details', 'brands'). This is clearly a metadata/introspection tool, distinguishable in kind from execute_action and query_data, though it never names the siblings explicitly.

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

Usage Guidelines5/5

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

It gives an explicit ordered workflow (Step 1 accounts, Step 2 actions_details as REQUIRED before querying) plus optional paths for available_actions and brands. An agent knows exactly which call to make first and what has to happen before querying data.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.