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create_account

Creates a new Code Registry account and returns API credentials. Required fields: email (account owner's email), name (account owner's full name), team_name (team or company name). All three must be provided or the call will fail. Cold starts can cause the first request to time out; retry with backoff. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAccount owner's name.
emailYesAccount owner's email.
team_nameYesTeam or company name.
integrator_idNoOptional integrator identifier (used for API key scoping).
integrator_nameNoOptional integrator display name.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden and handles it well. It discloses the return value (API credentials), the failure mode if required fields are missing, cold-start timeout behavior with retry advice, and that no API key is required. This is substantial behavioral context beyond the basic create action.

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 concise and front-loaded: purpose and return value first, then required parameters, then failure and operational behavior. Every sentence provides actionable information, and there is no filler or repetition of schema details.

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 lack of annotations and output schema, the description covers all essential invocation details: purpose, required inputs, failure condition, returned credentials, auth requirement, and timeout handling. Optional parameters are already fully documented in the schema, so nothing critical 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 schema already documents all parameters. The description adds role clarifications for email, name, and team_name, but does not add meaning beyond the schema for the optional integrator fields. This meets the baseline for high schema coverage.

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 states a specific verb and resource: 'Creates a new Code Registry account and returns API credentials.' This clearly differentiates it from sibling tools like create_project or create-code-vault by naming the exact resource type. It goes beyond the tool name and adds the result of the call.

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 gives clear context for when to use the tool: when creating a new Code Registry account. It also lists the required fields and warns that all three must be provided or the call will fail, which helps the agent decide to use this tool. It does not explicitly name alternatives or exclusions, but the resource-specific language makes the usage context unambiguous.

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

A3.7/5.0
Disambiguation3/5

Tools are mostly distinct by resource and action, but the three get-code-vault-* variants (summary, results, reports) plus get_vault create a cluster of similar-sounding retrieval tools. The use of both 'vault' and 'code-vault' in names increases the chance of misselection, though descriptions do clarify the differences.

Naming Consistency2/5

Naming convention is inconsistent: snake_case (create_account, get_vault, list_projects) is mixed with kebab-case (create-code-vault, get-code-vault-summary, reanalyze-code-vault). The same concept is referred to as 'vault' and 'code-vault' across tool names, breaking predictability.

Tool Count4/5

At 16 tools, the server is slightly over the ideal 3-15 range but still reasonable for the domain covering accounts, projects, vaults, and analysis retrieval. The count is justified by the distinct resources and operations, though a few vault-related tools could potentially be consolidated.

Completeness4/5

The server provides solid lifecycle coverage: account create/get/delete, project CRUD (minus update), vault create/read/delete/reanalyze, plus API key rotation. Minor gaps exist, such as no update methods for accounts or projects, but the core workflows are well-supported without dead ends.