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karlancer-mcp
by sepehr071

Find skill ids

kl_skills
Read-onlyIdempotent

Look up Karlancer skill IDs by name and see how many freelancer profiles list each skill, so you can use the correct IDs in project, freelancer, or service skill filters.

Instructions

Look up Karlancer skill ids by name, with how many freelancer profiles list each skill.

Use this to get the ids that the skills filter of kl_projects, kl_freelancers and kl_services takes.

Input Schema

NameRequiredDescriptionDefault
queryYesPart of a skill name (Persian or English), e.g. 'python', 'وردپرس', 'لوگو'.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds that results include a per-skill freelancer profile count, which is return-value context not present in any structured field; it says nothing about pagination or result limits, keeping it short of a 5.

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?

Two sentences, zero filler, with the core purpose front-loaded and the integration guidance immediately after. Every sentence earns its place.

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

Completeness5/5

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

For a one-parameter lookup with no output schema, the description supplies what the tool returns (ids plus profile counts) and why an agent would call it (to populate filter arguments elsewhere). Nothing needed to invoke it correctly is missing.

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 coverage is 100% and the single `query` parameter is documented with partial-match semantics and Persian/English examples. The description's "by name" adds little beyond that, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Look up Karlancer skill ids by name") and adds scope ("with how many freelancer profiles list each skill"), which distinguishes it from siblings like kl_trending_skills or kl_categories that also surface skill data.

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

Usage Guidelines5/5

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

Explicitly states the use case: fetching ids that feed the `skills` filter of kl_projects, kl_freelancers and kl_services. That names the downstream consumers and tells an agent exactly when this lookup is a prerequisite rather than a standalone query.

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