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Yardstick ATS

Generate draft questions and interviewer directions

yardstick_interview_plan_drafts_generate_questions_directions
Destructive

Generate interview questions and interviewer/candidate directions for each draft round, or one round when round_id is supplied.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
actionYes
resourceYes
request_idNo
idempotency_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already carry destructiveHint=true and readOnlyHint=false, so the safety profile is structured. The description adds the scoping behavior (all rounds vs one round) but does not disclose that generation plausibly overwrites existing draft questions/directions, the natural reading of destructiveHint. No contradiction between description and annotations.

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?

One sentence, front-loaded with the action, with the scoping conditional appended. No filler and no repetition of the schema's type information.

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

Completeness2/5

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

The tool has 5 parameters, a nested source_stage object, no output schema, and a destructive annotation, yet the description explains only the core purpose and the round_id switch. Missing: what instructions control, what source_stage/version reference, what happens to existing content, and what a successful generation returns. For a complex, destructive generation tool this is a meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so parameter meaning falls entirely on the description, but only round_id gets any explanation ('when round_id is supplied'). instructions (max 10,000 chars) and source_stage (nested object with stage/version) are completely unexplained in both schema and description, leaving an agent to guess their roles.

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 names a specific verb ('Generate') and resource ('interview questions and interviewer/candidate directions'), and adds a scope conditional: all draft rounds unless round_id targets one. This is clear enough to tell it apart from fellow generate_* siblings by output type, though it never explicitly names an alternative. The round_id conditional adds precision beyond the title.

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?

Provides one piece of decision guidance: omit round_id to generate for every draft round, supply it to restrict to a single round. However, no guidance distinguishes this from related tools like add_questions or update_round_directions, and no exclusions or prerequisites are stated. The when-to-use context is partial at best.

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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