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Change interview state

set_interview_state
DestructiveIdempotent

[Interviews] Change the state of an interview/position (e.g. open, closed).

Changes the lifecycle status of an interview or position (draft, active, archived, preparing, completed, deleted) and/or manages its embed key. Provide at least one of status or is_embedded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoNew lifecycle status to apply.
is_embeddedNoControls iframe embedding of the interview on an external page. When true, ensures an embed key exists (returns embed_id/embed_signing_key, used to authenticate/sign the iframe embed). When false, removes the embed keys (disables embedding).
position_idYesInterview definition id or position id whose state should change.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesReturns `{ embed_id, embed_signing_key }` when an embed key was created/returned (is_embedded=true), otherwise `{ success: true }`.

TDQS

A3.9/5.0
Behavior4/5

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

The description adds behavioral context beyond annotations: it explains that the embed key is managed via is_embedded, and lists all possible statuses including 'deleted' (destructive). However, it does not mention irreversible effects of deletion or behavior when both parameters are provided.

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: the first front-loads the core purpose, the second adds detail. No unnecessary words, efficient structure.

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?

Given the presence of annotations, full schema coverage, and an output schema, the description covers the main behaviors and parameter constraints. It lacks information about side effects (e.g., reversible? error conditions?) but is largely complete for the tool's complexity.

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?

With 100% schema coverage, the baseline is 3. The description adds value by clarifying the constraint 'Provide at least one of status or is_embedded' and explaining the purpose of is_embedded (managing embed key), which supplements the schema.

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?

The description clearly states the tool changes the lifecycle status of an interview/position and manages its embed key. The examples 'draft, active, archived' give specificity. However, the parenthetical '(e.g. open, closed)' is slightly inconsistent with the listed enum values, causing minor confusion.

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?

The description provides a parameter usage guideline ('Provide at least one of status or is_embedded') but does not explicitly tell when to use this tool versus siblings like create_interview or list_interviews. The context is implied but not stated.

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

A3.6/5.0
Disambiguation4/5

Most tools target distinct resources and actions, with clear category prefixes like [Interviews], [Results], and [Admin]. A few pairs could be confused—create_interview vs. create_interview_from_questions and update_interview vs. set_interview_state—but the descriptions do enough to separate them.

Naming Consistency4/5

The overwhelming majority follow a consistent verb_noun pattern: create_*, get_*, list_*, update_*, generate_*. The main deviation is jobmojito_configuration, which is a noun phrase rather than an action verb, and a few longer names like request_another_interview_attempt break the clean pattern slightly.

Tool Count2/5

With 29 tools, this server is above the 25+ threshold and places a significant navigation burden on an agent. The tools are organized into coherent domains, but several admin/merchant and results tools could likely be consolidated.

Completeness3/5

The core interview lifecycle is well covered: create, read, update, list, state changes, result retrieval, and report generation. However, there are notable gaps such as no delete operations for interviews or catalogue directories, no candidate management beyond listing/registration, and no explicit result-decision tool.