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zuperRuslana

Content Interviewer MCP

by zuperRuslana

save_interview_answer

Record a confirmed answer to one interview question and attach it to a content idea, preserving key insights for content creation.

Instructions

Save Ruslana's confirmed answer to one focused interview question for a content idea.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYes
idea_idYes
questionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full behavioral disclosure burden. It only says 'Save' and does not explain whether this overwrites an existing answer, creates a new record, requires any confirmation workflow, or what persistence implications exist.

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 a single sentence with no wasted words. It front-loads the action and includes the most relevant contextual constraints: Ruslana, confirmed answer, one focused question, and content idea.

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

Completeness3/5

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

For a simple three-string-parameter tool with an output schema, the description conveys the core use case adequately, but it leaves important context unstated, such as overwrite/upsert behavior and how this differs from saving raw content ideas. It is minimally viable but not fully self-sufficient.

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 0%, but the description compensates by semantically mapping all three parameters: 'answer' maps to answer, 'focused interview question' maps to question, and 'content idea' maps to idea_id. However, it adds no detail about format, allowed values, or how idea_id should be sourced.

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 concrete action and resource: saving Ruslana's confirmed interview answer, scoped to one focused question and a content idea. It is clear enough to distinguish from siblings like save_content_idea or add_article, though it does not explicitly call out those differences.

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 phrase 'confirmed answer to one focused interview question for a content idea' implies when to use the tool, but no explicit when-not-to-use guidance or alternatives are mentioned. An agent can infer clear context, but must reason about sibling tool selection on its own.

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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