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Pinterest Ads MCP Server

Pinterest Ads MCP Server

Check whether metrics are final

pinterest_ads_get_metrics_ready_state
Read-onlyIdempotent

Checks whether Pinterest Ads conversion and other metrics for a specified date are final, so you can confirm data readiness before reporting.

Instructions

Whether conversion and other metrics for a date (YYYY-MM-DD) are final yet.

Input Schema

NameRequiredDescriptionDefault
dateYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds that finality is per-date, hinting at eventual consistency of metric data, but it does not say what the response looks like, whether a non-final state is retryable, or how long settling typically takes.

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?

A single sentence fragment with zero filler, and the key constraint (date-scoped finality) is front-loaded. The lack of an explicit verb makes it read slightly like a title restatement rather than an instruction.

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

Completeness2/5

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

There is no output schema, so the description is the only place the return value could be explained, and it never says whether the result is a boolean, a status string, or per-metric flags. For a one-parameter polling-style tool this is a real gap an agent would feel at call time.

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 coverage is 0%, so the description must carry the parameter, and it does supply the YYYY-MM-DD format that the schema's bare string 'Date' lacks. It leaves open what the date refers to (report date vs. event date) and which timezone applies, which matters for a readiness check.

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 names a specific resource (conversion and other metrics) and a specific check (whether they are final yet) scoped to a single date, which is distinguishable from the sibling metrics tools like list_metrics and get_analytics. It never explicitly contrasts itself with those siblings, so an agent must infer the boundary.

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

Usage Guidelines2/5

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

There is no explicit when-to-use statement, no mention of when the answer is not useful, and no named alternative. The implied workflow (call this before trusting metrics for a date) is left entirely to inference.

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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