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Tomorrow Central: Cloud Cost Sentinel

List what can be priced and named

list_cost_building_blocks
Read-only

Everything the estimator can be asked about, by name.

Call this BEFORE the other estimator tools. They select from a closed set and
reject anything else, so a name you invent fails rather than quietly pricing
something adjacent. This is where the valid names come from.

`of` narrows the reply to any of `components`, `capabilities`, `archetypes`,
`drivers`, `constraints`, `regions`; omit it for all of them. Each entry
carries the exact shape to pass it back in, so nothing needs to be guessed.

If what the user described is not in here, say so plainly and say what IS
covered. An estimate assembled from the nearest available parts, presented as
the thing they asked about, is worse than no estimate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ofNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.7/5.0
Behavior4/5

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

With readOnlyHint already set, the description still adds useful behavior: the returned catalog is a closed set, each entry carries the exact shape to pass back, and omitting the of filter returns all categories. It does not discuss response size or errors, but for a simple list tool the key behaviors are disclosed.

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 one-sentence purpose and each paragraph adds a distinct point: call order, input values, and fallback behavior. It is slightly verbose with repeated emphasis on the closed set, but no sentence is wasted.

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?

Given one optional parameter, no output schema, and a read-only annotation, this is complete: it states the tool's role, the valid inputs, the nature of the return value, and how to handle missing matches. An agent can select and invoke it correctly without further information.

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

Parameters5/5

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

Schema coverage is 0%, so the description carries the full burden for the single of parameter. It names the accepted values (components, capabilities, archetypes, drivers, constraints, regions), says what omitting the parameter does, and explains the narrowing effect. That is more than the schema alone provides.

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 opens with a concrete purpose: enumerate everything the estimator can be asked about, by name. It also positions itself as the canonical source of valid names, which separates it from sibling estimator tools like estimate_cost and list_priced_services that consume those names rather than supplying them.

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?

It explicitly instructs the agent to call this before the other estimator tools and explains why: those tools reject invented names rather than pricing adjacent items. It also gives direct guidance for the case where the user's request is not covered, so the agent knows to say so and state what is covered.

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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