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What the AI said

ai_answer
Read-onlyIdempotent

One question and one AI: that AI's answer word for word, exactly as stored, with the pages it cited, from the latest check or a given date. Quote it as that AI's words. Use it for "show me exactly what ChatGPT said" or "who did Perplexity recommend for the Comrades question?".

Input Schema

NameRequiredDescriptionDefault
aiYesThe AI: chatgpt, claude, gemini or perplexity.
dateNoA check day, YYYY-MM-DD. Leave it out for the latest check.
siteNoWhich of your sites: its domain ("biotree.bio"), its id from list_my_sites ("biotree-bio") or its name. Leave it out when the person has one site.
questionYesThe question: its id ("p03"), its number in the list ("3"), or words from it ("Comrades").

Output Schema

NameRequiredDescriptionDefault
dateNoThe check day.
viewYesWhat this answer is; "none" for a question back, a plain no, or nothing there yet (see message).
domainNoThe site.
resultNonamed, with your address | named | your address given, not named | not named.
aiLabelNoChatGPT, Claude, Gemini or Perplexity.
messageNoWhen view is "none": what to tell the person.
questionNoThe question as asked.
citationsNo{ url, title, domain }.
answerTextNoThe answer, word for word.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior. The description adds useful context that the answer is stored verbatim with cited pages and should be quoted as that AI's words, plus latest-vs-date behavior.

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?

Front-loads the core definition, then adds quoting guidance and concrete examples. Three sentences, no filler, and every part earns its place.

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?

For an annotated read-only retrieval with full schema coverage and an output schema, the description supplies the exactness, citation, and date-scope details an agent needs. No important behavioral or usage gap remains.

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 schema already documents all four parameters including question formats, AI enum, date, and site. The description reinforces the one-question/one-AI and latest/date semantics but adds little parameter syntax beyond the schema, so the baseline is appropriate.

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?

States a specific retrieval: one AI's verbatim answer to one question, with cited pages, from the latest check or a given date. It clearly conveys the resource and scope, but does not explicitly name or contrast sibling tools such as questions or briefing.

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?

Provides clear usage examples, including exact-quote and recommendation-style queries. It gives strong positive guidance but no explicit when-not guidance or named alternatives.

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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