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Your AI visibility today

get_visibility
Read-onlyIdempotent

Your latest FrontStat report: date, visibility score, whether each AI search engine recommends your product for your main buyer question and who it names instead, and for your buyer questions how many answers recommend you (X of Y) per assistant. Needs a FrontStat plan (Lite or Pro): send your dashboard token as a Bearer token. Covers the domain on your subscription.

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": "get_visibility"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish that this is a safe, read-only, idempotent, non-destructive, closed-world operation. The description adds valuable context beyond those annotations: it requires a Lite or Pro plan, a Bearer dashboard token, and is scoped to the subscription's domain. It could still say more about error behavior when auth or plan requirements are unmet.

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?

The description is front-loaded with the report contents and then adds the plan and token requirements. It is reasonably efficient, though the long list of report fields makes it a dense run-on sentence that could be structured more cleanly.

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 zero-parameter, read-only tool with no output schema, the description is complete enough: it explains what the report contains, the auth prerequisite, the required plan, and the domain scope. An agent has what it needs to decide whether and how to call it.

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?

The tool has zero parameters, so there are no parameter semantics to explain; the baseline for a no-parameter tool is 4. The description does not need to compensate for schema gaps.

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 clearly identifies the resource as the latest FrontStat report and enumerates what it contains: date, visibility score, AI engine recommendations, competitor names, and per-assistant recommendation counts. It is specific about the report's content but does not explicitly differentiate itself from siblings such as visibility_history or who_wins_instead.

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?

The description implies usage by saying it returns the latest report and covers the subscription domain, but it does not explicitly say when to use this tool versus visibility_history or who_wins_instead. The auth and plan requirements are stated, but alternative-tool guidance is absent.

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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