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Xearno Tools

Market Size (TAM · SAM · SOM)

market_size
Read-only

Bottom-up market sizing with a built-in plausibility check. Builds TAM, SAM, and SOM bottom-up from customer count and revenue per account, then sanity-checks whether the implied customer acquisition is actually plausible — the check most pitch decks skip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
arpaNoAnnual revenue per customer
samPctNoServiceable share (%) Share you can actually reach: your segment, geography, language, channel.
somPctNoObtainable share of SAM (%) Realistic share you win in ~3–5 years given competition.
accountsNoPotential customers in market Total count of businesses/people who could conceivably buy this category.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already provide readOnlyHint=true, so the description's extra detail about the plausibility check adds value without contradiction. It does not mention auth needs or side effects, but the read-only nature is clear.

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?

The description is two sentences with no wasted words. It front-loads the core purpose and adds a unique selling point (plausibility check) efficiently.

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?

The description covers the key functionality and the unique plausibility check. However, without an output schema, it does not describe the return format or structure, which is a minor gap for a calculation 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 coverage is 100% with descriptions for all parameters. The description adds a high-level summary ('customer count and revenue per account') but does not provide additional details beyond the schema, meeting the baseline.

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?

The description clearly states the tool does bottom-up market sizing (TAM, SAM, SOM) with a built-in plausibility check. It uses specific verbs like 'Builds' and 'sanity-checks', and is clearly distinct from sibling financial calculators.

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?

The description implies use when performing market sizing, but does not explicitly state when not to use it or suggest alternatives. However, given the sibling tool list, the context is clear.

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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