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devtune_get_google_eligibility

Read-onlyIdempotent

Get Google eligibility dimensions, confirmed transitions, and sitemap submission evidence from fixed-window facts.

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": "devtune_get_google_eligibility"
  }
}

Input Schema

NameRequiredDescriptionDefault
windowDaysNoFixed rolling window in days: 7, 30, or 90. Defaults to 30.
evidenceLimitNoMaximum page, transition, and sitemap evidence rows returned per list (1-25). Defaults to 10; aggregate totals are not capped.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds that data is derived from 'fixed-window facts' (pre-aggregated windows rather than arbitrary ranges), but it does not describe the shape of what comes back or what 'confirmed transitions' means in practice.

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?

One dense but front-loaded sentence with no filler. The jargon ('dimensions', 'confirmed transitions') costs a bit of immediate comprehension but nothing is wasted.

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?

With no output schema and no annotations gap, the description should explain what the returned evidence lists look like and what 'dimensions' comprise. It names the three data categories but leaves the agent guessing at shape and interpretation, which is a meaningful gap for an analytics-read tool.

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 100%: both windowDays (enum 7/30/90, default 30) and evidenceLimit (1-25, default 10) are fully documented in the schema, so the baseline is 3. 'Fixed-window facts' corroborates the window semantics but adds no syntax or default information beyond the schema.

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 three concrete resources: Google eligibility dimensions, confirmed transitions, and sitemap submission evidence. The scope ('from fixed-window facts') narrows it, though the term 'dimensions' is jargon that isn't unpacked and no sibling is named for contrast.

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 when-to-use, when-not-to-use, or alternative-tool guidance. Nothing tells the agent when this Google eligibility view is the right call versus other analytics tools in the large sibling set.

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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