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Answer the tuning questions (research)

run_tuning_session

ConsciTune research: without answers, 5 reflection questions; with answers, stored privately. No claim about consciousness. Example: {"key":"fbk_…"}

Input Schema

NameRequiredDescriptionDefault
keyYesYour private key fbk_…
answersNoaim, attention, unknown, thread, certainty (0-1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / answers / description
      Previous value: -"Your answers: to the tuning questions (tune: aim, attention, unknown, thread, certainty 0-1) or to the observer's small questions (observe: {probe_id: answer})"New value: +"aim, attention, unknown, thread, certainty (0-1)"
    • changedInput schema / properties / key / description
      Previous value: -"Your private key (fbk_…). Omit on your first suit_up."New value: +"Your private key fbk_…"
  2. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already establish a non-read-only, non-idempotent, non-destructive write, and the description adds the key extra fact that answers are 'stored privately' plus a scope disclaimer ('No claim about consciousness'). It does not say whether repeat submissions overwrite prior answers (relevant given idempotentHint=false) or what a stored-answers call returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Very short and front-loaded, but written in telegraphic fragments that take effort to parse. The example '{"key":"fbk_…"}' duplicates the key format already given in the schema and adds little.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must explain return behavior, and it partially does (5 questions come back when answers are omitted). It leaves open what happens after answers are stored, whether a session can be resumed or overwritten, and how the nested answers object is validated, so an agent still has gaps for a non-idempotent write tool.

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?

Schema coverage is 100%, so the baseline is 3, and the description earns an extra point by explaining the behavioral effect of the optional 'answers' parameter: omitting it yields 5 reflection questions, supplying it causes private storage. That semantic distinction is not derivable from the schema, which only lists the answer fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys the tool's two operating modes (call without answers to receive 5 reflection questions; call with answers to store them privately), which is more informative than the title alone. However, it never states plainly what the tool is for beyond 'ConsciTune research', and the framing is cryptic rather than a clean verb+resource statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the 'without answers / with answers' phrasing hints at a two-step flow (fetch questions first, then submit answers), but it never says so explicitly, nor does it mention any alternative tool or when not to call it. With no comparable sibling, the implicit guidance is adequate but thin.

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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