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My striking-distance queries

my_search_console
Read-onlyIdempotent

Google queries where the signed-in brand ranks between positions 5 and 15, from their connected Search Console. Use this when the user asks about quick SEO wins or what is close to page one. For any other Search Console question, such as top queries, pages, countries, devices, filters or a daily trend, use gsc_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description adds the data provenance ('their connected Search Console'), which implies the tool reads the signed-in user's own authenticated property rather than arbitrary data, plus the ranking-window scope. Return shape is not described, but there is no output schema and no parameters.

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?

Three compact sentences with no filler: definition first, then when to use, then the explicit hand-off to gsc_query. Each sentence carries a distinct, load-bearing piece of information.

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

Completeness5/5

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

For a read-only, parameterless, output-schema-less tool, the description covers what the data is, how it is scoped, when to call it, and which sibling to call otherwise. Nothing an agent needs to select and invoke it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so there is no parameter semantics to convey and no risk of misleading argument guidance; the baseline for a parameterless tool applies. The description usefully pins the implicit filtering (positions 5–15, signed-in brand) that would otherwise be mistaken for configurable arguments.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (Google queries for the signed-in brand) with a concrete qualifying threshold (positions 5–15) and names the data source. It is immediately distinguishable from gsc_query and the other 'my_*' tools because it owns the striking-distance niche.

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

Usage Guidelines5/5

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

Gives both sides of the routing decision: use it for 'quick SEO wins' or 'close to page one', and for every other Search Console question (top queries, pages, countries, devices, filters, daily trend) use gsc_query. The alternative is named with the condition that selects it.

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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