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Startup ideas / office hours

get-skills
Read-only

Use for startup ideas, office hours, and “I installed this connector to work through an idea”. Inside: office-hours-zernote (challenge the idea), zernote-plan-research. Omit id for the catalog, then pass id for the full playbook. Not for listing interviews or projects. Works without login.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoSkill id. Empty = catalog. Examples: office-hours-zernote, zernote-plan-research.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Skill id. Empty = catalog. Examples: who-is-user, plan-research."New value: +"Skill id. Empty = catalog. Examples: office-hours-zernote, zernote-plan-research."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already convey read-only/safe; description adds 'works without login' (auth context) and explains catalog-vs-playbook behavior with omitted vs provided id. It does not describe output shape/pagination, but the simple read-only nature makes this a minor gap.

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?

Five short sentences, each earns its place: use case, contained skill IDs, id behavior, exclusions, auth. The telegraphic style is efficient but could be slightly more polished.

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?

For a one-optional-parameter read-only tool with no output schema, the description covers purpose, id semantics, contents, exclusions, and auth. It may not detail return format, but this is minor given the simple tool and high schema coverage.

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?

Schema covers the id parameter fully, including examples and empty=catalog. The description adds semantic value by mapping office-hours-zernote to 'challenge the idea' and zernote-plan-research, which goes beyond the schema's bare examples.

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?

Description clearly scopes the tool to startup ideas/office hours and explains the catalog/playbook behavior, and explicitly says it is not for listing interviews or projects. It lacks a direct verb like 'list' or 'retrieve', leaving the action slightly implicit.

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?

Gives clear when-to-use ('startup ideas, office hours...') and when-not-to-use ('not for listing interviews or projects') but does not name the sibling tools to use instead. This is strong usage guidance, but not full explicit routing to alternatives.

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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