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SLSBMB AI

Compare SLSBMB AI with the alternatives

compare_options
Read-onlyIdempotent

How SLSBMB AI compares with an outbound agency, hiring an SDR, a do-it-yourself stack, AI SDR software, a chatbot with a good prompt, Apollo, Instantly, Clay or Smartlead: prices from public sources with dates, who does which part of the work, and what each option includes. Without arguments: the overview of every comparison. Use it when someone weighs SLSBMB AI against an alternative or asks which outbound option to choose; for SLSBMB AI prices alone, get_pricing is shorter.

Input Schema

NameRequiredDescriptionDefault
alternativeNoThe alternative to compare with; omit for the overview.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / alternative / enum
      Previous value: -[
      -  "outbound_agency",
      -  "hiring_an_sdr",
      -  "diy_outbound_stack",
      -  "ai_sdr_software",
      -  "apollo",
      -  "instantly",
      -  "clay",
      -  "smartlead"
      -]New value: +[
      +  "outbound_agency",
      +  "hiring_an_sdr",
      +  "diy_outbound_stack",
      +  "ai_sdr_software",
      +  "apollo",
      +  "instantly",
      +  "clay",
      +  "smartlead",
      +  "chatbot"
      +]
  2. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, closed-world, non-destructive, so the safety profile is covered. The description adds real behavioral content beyond that: prices come from public sources with dates, and results cover division of labor and inclusions — useful since there is no output schema. It stops short of describing result shape or recency caveats, so not a 5.

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 comparison scope and the guidance in the first and last sentences, with no filler. The long enumeration of alternatives duplicates the enum values in the schema, which is mild redundancy but does help an agent match user phrasing.

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 one-optional-enum, read-only tool with no output schema, the description conveys what a result contains (prices with dates, who does what, what's included) and the default mode. Only the structural form of the response is left unspecified, which is minor.

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% and the single enum parameter is already documented as 'omit for the overview.' The description's 'Without arguments: the overview of every comparison' restates that same default rather than adding new semantics, so the baseline 3 applies.

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 verb (compares) and enumerates the exact set of alternatives covered, so the agent knows precisely what content is behind the tool. It also explicitly separates itself from the pricing sibling, making it distinguishable without opening any schema.

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 an explicit trigger ('when someone weighs SLSBMB AI against an alternative or asks which outbound option to choose') and an explicit exclusion with a named alternative ('for SLSBMB AI prices alone, get_pricing is shorter'). It also documents the no-argument default behavior.

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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