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List inbox placement runs

list_inbox_placement_runs
Read-only

Lists inbox placement runs, newest first, optionally only those of one test. Each run counts how many probe emails landed in the inbox, in spam, in a Gmail category tab (promotions) or nowhere (missing, which usually means a silent block). Counters are only final once status is completed. Any rate of -1 means NOT MEASURED yet and must never be reported as 0%.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_inbox_placement_runs"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many runs to return (default 50, max 200)
testIdNoOnly runs of this test (from list_inbox_placement_tests)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover read-only, non-destructive, closed-world safety, but the description adds real interpretive context: what each counter category means, that 'missing' usually signals a silent block, that counters are provisional until status is completed, and that -1 means unmeasured rather than zero. The only gap is return/pagination behavior, which is out of scope given the read-only profile.

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?

Four dense sentences, front-loaded with purpose and ordering before the counter semantics. No filler, though the -1 warning is directive rather than descriptive and could be trimmed slightly.

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 two-parameter, no-output-schema list tool, the description explains what a run contains and how to interpret its counters, which is the main ambiguity. It leaves pagination/result-shape unstated, but nothing critical to invoking it correctly is missing.

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%, so both limit and testId are already documented, and the description only restates the test filter ('optionally only those of one test'). Baseline 3 is appropriate since the schema carries parameter meaning.

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 and resource ('Lists inbox placement runs') plus ordering ('newest first') and an optional filter scope. It implicitly distinguishes itself from result-level siblings by explaining that a run is a container of counters, though it never names an alternative tool.

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 only implied: you call it to browse runs, optionally narrowing to one test. There is no explicit when-to-use vs. get_inbox_placement_run or list_inbox_placement_run_results guidance, and no stated preconditions.

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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