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Pinterest Pages MCP by InsightfulPipe

Pinterest Pages Setup Helper

query_contexts
Read-only

Helper for planning InsightfulPipe Pinterest Pages queries and write actions.

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

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?

Annotations already declare readOnlyHint=true, and the description is consistent with that – it plans write actions rather than performing them. It adds genuinely useful procedural context (that available_actions is already embedded in the accounts response, and that actions_details must precede any query), but says nothing about error behavior for invalid action names or response shape.

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?

Numbered steps and 'Optional:' labels make it scannable and front-loaded, with the required path appearing before the optional ones. Minor redundancy in restating that available_actions is included in the accounts response.

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?

For a five-parameter meta-tool with a small enum and an existing output schema, the description supplies what the schema cannot: the call ordering, the mandatory actions_details gate, and the fields each step yields. Only the platform parameter and failure behavior remain uncovered.

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 must carry the load, and it does for most parameters: it enumerates the meaningful request enum values and shows the actions array usage with placeholder examples plus what it returns (request body, identifiers, fields, time ranges). The 'platform' parameter is never mentioned and brand_id/workspace_id are only loosely tied together, so a gap remains.

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 frames a specific role – a setup/planning helper that returns account metadata and per-action request specifications – and its 'Step 1 / Step 2' framing makes the dispatcher pattern explicit. It doesn't name the siblings it hands off to (query_data, execute_action), so the boundary is implied rather than stated.

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: call request='accounts' first, then request='actions_details' which is marked REQUIRED before querying, and it labels the remaining requests as optional. Prerequisite ordering and when-not-to-skip are stated outright.

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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