Taste

order_think_tank_session_30

Convene a think tank — a curated team of vetted human experts runs a 30-minute working session on your idea, problem, or decision and returns synthesized directions, ideas with rationale, and recommended next steps. Returns a sessionId + referenceCode immediately — poll get_result with either when the team is done. Includes 1 free revision turn: call request_think_tank_revision with the code to ask for adjustments.

Input Schema

TableJSON Schema

Name	Required	Description
`mediaUrls`	No	Optional. Publicly accessible URLs to reference material (images, decks, docs, links) the team should review.
`description`	Yes	The idea, concept, or problem you want the think tank to work on. Be specific about the goal and any constraints.
`buyerWalletAddress`	No	Optional. An EVM wallet address. If provided, you can later retrieve the deliverable on humantaste.app by connecting this wallet.
`requestedDeliverables`	No	Optional. What you want out of the session — e.g. "5 campaign concepts", "a positioning statement", "product name ideas".

Output Schema

TableJSON Schema

Name	Required	Description	Default
`tip`	Yes
`status`	Yes
`message`	Yes
`offering`	Yes
`priceUsdc`	Yes
`sessionId`	Yes
`referenceCode`	Yes
`revisionTurns`	Yes

TDQS

A4.5/5.0

Behavior4/5

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

No annotations are provided, so the description carries full burden. It discloses the async nature, immediate token return, revision policy, and that experts are 'vetted human experts'. It does not mention costs, failure modes, or authentication, but covers key behavioral properties.

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 (plus a brief continuation) that front-loads the purpose and immediately follows with the async pattern and revision. Every sentence carries essential information with no redundancy.

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 the presence of an output schema (not shown but signaled), the description need not detail return values. It fully covers the input requirements, the async retrieval method, and revision capability. No gaps are evident for a tool that initiates a human session.

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% (all params have descriptions), so baseline is 3. The tool description adds context beyond schema: it explains that 'description' is the core input, 'mediaUrls' are optional reference material, and 'buyerWalletAddress' enables later retrieval. This adds meaningful guidance.

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 starts with 'Convene a think tank' and clearly specifies the 30-minute duration, the input (idea/problem/decision), and the output (synthesized directions, ideas, next steps). This distinguishes it from sibling 'order_think_tank_session_60', which is likely a 60-minute version.

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 explains the async flow: returns sessionId+referenceCode immediately, poll get_result for final answer. It also mentions the free revision turn via request_think_tank_revision. However, it does not explicitly compare to the 60-minute session or other tools.

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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TDQS

A4.4/5.0

Disambiguation5/5

Each tool has a clearly distinct purpose, covering different aspects of human expert evaluation: dispute arbitration, domain consultation, content review, certificate verification, etc. Even similar tools like review_content and prepublish_review differ in their focus (facts vs. cultural sensitivity), and order_think_tank_session_30 and _60 only differ by duration, which is natural.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in lowercase with underscores (e.g., arbitrate_dispute, list_offerings, verify_certificate). There is no mixing of conventions or vague verbs, making the naming predictable and easy for an agent to infer functionality.

Tool Count5/5

With 17 tools, the server strikes a good balance—enough to cover a wide range of human expert evaluation tasks without being overwhelming. Each tool serves a specific, justifiable purpose within the domain.

Completeness4/5

The tool set covers core workflows like ordering evaluations, retrieving results, requesting revisions, and verifying certificates. However, there is no explicit tool for ordering an illustration (only revision), which is a minor gap. Overall, the surface is nearly complete for the stated purpose.

Resources

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