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Best next step

get_next_step
Read-only

Returns the single most useful thing the user could tell Ripplewatch next, with the reason it would sharpen future answers, and names the tool to do it with (add_competitor, set_context, log_win_loss, import_win_loss, log_customer_feedback or ask). Call it when the user asks how to get more out of Ripplewatch, or when answers feel generic. It only gives guidance and changes nothing. Read-only, no parameters.

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_next_step"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and destructiveHint=false, so safety is covered; the description reinforces this with 'only gives guidance and changes nothing' and adds the important behavioral detail that the result includes a reason and a named tool from a finite set. No rate limits or failure modes are mentioned, but none are needed for a zero-param guidance call.

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?

Front-loaded with the return shape, followed by when to call and a reassurance about side effects. The first sentence is long and packs three ideas, and the parenthetical tool list is slightly heavy, but no sentence is wasted.

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?

There is no output schema, and the description compensates by describing the return payload as a single recommendation plus its rationale plus a target tool name. What it omits is any hint about how 'ask' relates to the named tools or what the guidance looks like structurally, but an agent can call it correctly with what is given.

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 baseline is 4. The description explicitly confirms 'no parameters', which removes any doubt about whether a user or workspace identifier must be supplied.

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?

Specific verb and resource: returns the single most useful next input, with reason and the name of the tool to use. It distinguishes itself from siblings like how_to_use, start_here and ask by stating it produces actionable next-step guidance rather than general instructions or answers.

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

Usage Guidelines4/5

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

Gives two explicit trigger conditions: when the user asks how to get more out of Ripplewatch, or when answers feel generic. It does not say when to prefer this over closely related siblings such as how_to_use or start_here, leaving some routing ambiguity.

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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