Skip to main content
Glama

Yardstick ATS

Generate draft job skills

yardstick_interview_plan_drafts_generate_skills
Destructive

Generate draft interview-plan skills from confirmed competencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
actionYes
resourceYes
request_idNo
idempotency_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

The annotations already indicate destructive behavior (destructiveHint: true) and non-idempotency, but the description adds no behavioral context beyond 'generate'. It does not disclose whether existing skills are overwritten, what side effects occur, or what happens on repeated calls. No contradiction exists, but the description fails to enrich the safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no fluff or repetition. It efficiently conveys the primary purpose, though it is arguably too terse given the tool's complexity.

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

Completeness1/5

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

This is a destructive, non-idempotent write tool with a nested input schema and no output schema. The one-sentence description leaves critical context uncovered: workflow prerequisites, return values, behavior on existing data, and parameter semantics. For an agent to invoke this correctly, it would need to infer most information from the raw schema.

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

Parameters1/5

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

With schema description coverage at 0%, the description carries the full burden of explaining parameters, but it mentions none. Terms like 'accepted_skills', 'source_stage', and 'instructions' remain semantically opaque; the description's 'from confirmed competencies' only loosely maps to source_stage without clarifying its structure or the role of accepted_skills.

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 states a specific verb ('generate'), a resource ('draft interview-plan skills'), and a source ('from confirmed competencies'), which clearly conveys the tool's core function. It distinguishes this from siblings like 'add_skills' (manual addition) and 'generate_competencies' (different target). The minor inconsistency between the title ('draft job skills') and description ('interview-plan skills') prevents a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives such as 'add_skills', 'update_skills', or 'generate_competencies'. The phrase 'from confirmed competencies' implies a prerequisite but does not explain the workflow placement or provide any when-not-to-use conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.