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Request private beta access

request_beta_access
Idempotent

Register the user's interest in DeepDNA's private beta (DNA file parsing, annotation, bloodwork; not deployed yet). Only call this after the user has explicitly agreed to share their email with DeepDNA for this purpose, and set user_consent to true. Stores the email and the optional use case; see https://deepdna.ai/privacy/.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe user's email address.
use_caseNoOptional. What the user is building, in a sentence or two. Max 500 characters.
user_consentYesMust be true: the user agreed to share their email with DeepDNA for the private beta.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=false. The description adds value beyond them: it discloses what is persisted (email, optional use case), links the privacy policy, and notes the beta is 'not deployed yet'. It stops short of saying what the caller receives on success or any rate limits.

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?

Three sentences, each carrying distinct load: what it does, the consent precondition, and what is stored/privacy link. Purpose is front-loaded with zero filler.

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?

For a small mutation tool with annotations covering the safety profile and no output schema, the description covers purpose, precondition, and persisted data. It could add what the caller gets back or confirmation behavior, but nothing critical for correct invocation is missing.

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 description coverage is 100%, so the baseline is 3; the schema already defines email, use_case (with 500-char cap), and the user_consent must-be-true rule. The description reinforces the consent semantics but adds no format or syntax detail beyond the schema.

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?

States a specific verb and resource ('Register the user's interest in DeepDNA's private beta') and immediately scopes what the beta covers (DNA file parsing, annotation, bloodwork; not deployed yet). This clearly distinguishes it from the read-only sibling tools (lookup_gene, check_medications, etc.), which take no user-consent action.

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?

Gives an explicit, non-negotiable precondition: 'Only call this after the user has explicitly agreed to share their email' and 'set user_consent to true'. That is a clear when-to-call gate, and the implied when-not is the inverse. No alternative sibling overlaps, so no alternative routing is needed.

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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