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nima-karami

nima-career-mcp

by nima-karami

list_skills

Retrieve skills organized by category, each with links to supporting evidence, to efficiently source relevant qualifications for career inquiries.

Instructions

List skills grouped by category; each skill links to backing evidence ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoriesYes
Behavior2/5

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

With no annotations, the description carries full burden. It mentions grouping by category and linking to evidence ids, but does not disclose behavioral traits like whether the operation is read-only, what happens when category is null, or any limits. Minimal transparency.

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?

Single sentence is concise and front-loaded, but lacks structure like separating purpose from details. Efficient but could benefit from more organization.

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?

Given an output schema exists (unknown content) and one optional parameter, the description is adequate but incomplete. It doesn't explain 'backing evidence ids' or the response structure. Moderate completeness.

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%, so description must compensate. The description implies the 'category' parameter filters results by grouping, but doesn't explain allowed values or format. Adds some meaning but not enough for full understanding.

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 lists skills grouped by category with links to evidence ids, distinguishing it from other list tools. However, it doesn't explicitly differentiate from siblings like list_bullets or list_experience.

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?

No guidance on when to use this tool versus alternatives such as search_experience or other list tools. The description does not provide context for appropriate use cases or exclusions.

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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