Skip to main content
Glama

List current ad recommendations

get_ad_recommendations
Read-onlyIdempotent

Ad change sets awaiting approval, goal suggestions and open anomalies, each with its reason.

Input Schema

NameRequiredDescriptionDefault
limitNoMax items per list (default 20)
product_idNoOnly this product
ad_account_idNoOnly this ad account

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare this is a read-only, idempotent, non-destructive list operation, so the safety profile is covered. The description adds only that the listed items carry reasons attached; it says nothing about ordering, whether the three lists are truncated by the shared limit, or what happens when a filter matches nothing.

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 front-loaded sentence that enumerates the three payload categories with no filler. It is efficient, though the fragment form leaves the aggregation behaviour (three lists in one response) implicit rather than stated.

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

Completeness3/5

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

For a read-only, zero-required-parameter list tool this is close to adequate, and there is no output schema to explain. However, the description never clarifies that three distinct result lists are returned or how limit and the ID filters interact across them, which an agent needs to interpret the response correctly.

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 100% and each of the three optional parameters is documented in the schema itself, including the default of 20. The description adds no meaning beyond that, so the baseline 3 applies.

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 the three concrete resource types (ad change sets awaiting approval, goal suggestions, open anomalies) and their common thread (each with its reason), which is far more specific than the title alone. It does not name or distinguish itself from nearby siblings like get_ad_health, get_ad_performance or explain_ad_change, so it falls short of a 5.

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 guidance: nothing says to call this before propose_ad_changes, or to prefer explain_ad_change for a single item's rationale. The reader must infer the use case from the enumerated content types, and no exclusions or alternatives are given.

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.