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AdsAgent — Google Ads MCP

google_ads_task_get

Read-only

Get one task by the opaque task_ref returned by google_ads_tasks_list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_refYes
connection_contextNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / connection_context
      Added value: +{
      +  "pattern": "^mctx_v1_[0-9a-f]{64}$",
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered and nothing is contradicted. The description adds only the 'opaque' qualifier on the ref; it says nothing about ref expiry, error behaviour for invalid refs, or auth/connection requirements, which is the kind of context that would raise this score.

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?

A single front-loaded sentence with no filler; the key qualifier (where the ref comes from) arrives immediately after the verb-resource statement.

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 low-complexity, read-only getter with annotations covering safety and no output schema to explain, the description supplies the essential prerequisite linkage. Missing details are minor: the undocumented connection_context parameter and any note on ref validity/expiry.

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 description coverage is 0%, so the description must compensate. It does explain task_ref meaningfully (opaque, sourced from the list tool), but the second parameter, connection_context, is left completely undocumented in both schema and description, so compensation is only partial.

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?

States a specific verb (get) and resource (one task), and identifies the identifier's origin ('returned by google_ads_tasks_list'), which separates it from the sibling list tool. It stops short of contrasting with other single-object readers like tasks_get_status or google_ads_mutation_receipt_get.

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?

Usage is implied through the phrase 'returned by google_ads_tasks_list', telling the agent this tool runs after a list call. There is no explicit statement of when to prefer it over tasks_get_status or what to do when a task_ref is stale, so guidance remains inferential.

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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