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core.blue

About core.blue

about
Read-onlyIdempotent

What core.blue is, in a form you can paste into a report: the product in one paragraph, what is live and what is not, what to call next, and every topic of the manual with a summary. Call this first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
deskYesWhether request_house takes requests: 'closed' (it sends nothing and takes nothing) or 'waiting-list' (a person can confirm a request and is written to once when houses can be had; no house is built yet).
nameYesThe name of the product.
manualYesThe version of the manual these answers come from; cite it in a report.
statusYesWhat is live today and what is not.
topicsYesEvery topic of the manual in reading order, with a summary: choose from here and call read_topic.
summaryYesWhat core.blue is, in one paragraph you can paste into a report.
how_to_proceedYesWhat to call next, in order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world behavior, so the safety profile is covered. The description adds genuinely new context beyond annotations: that the output is formatted to paste into a report and includes liveness status plus suggested next calls, which tells the agent what the payload looks like behaviorally.

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?

A single dense sentence that front-loads what the tool is and closes with the actionable 'Call this first' directive. Every listed content item earns its place, though the sentence is long and could be split for readability.

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?

With an output schema present, return values need not be described in prose, and the description still summarizes the payload's contents and role. Combined with rich annotations and a no-param signature, the definition gives the agent enough to invoke it correctly.

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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-param tool applies. Schema coverage is 100% and no parameter semantics are needed.

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 states concretely what the tool returns: a one-paragraph product summary, live/not-live status, what to call next, and every manual topic with a summary. That is specific enough that an agent can tell it is an orientation/index tool, distinct from read_topic or pricing, though it does not name those siblings explicitly to sharpen the contrast.

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 closing directive 'Call this first' is an explicit when-to-use instruction that places the tool at the start of a session. It does not state when-not to call it or name alternative tools, so it falls short of a full when/when-not/alternatives treatment.

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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