pathpilot-mcp-server

compare_profile_and_repository_skills

Compare self-reported LinkedIn skills with GitHub repository evidence to reveal which skills are verified and which lack code proof.

Instructions

Identify self-reported LinkedIn skills that do / do not have matching GitHub evidence in the selected repository.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "repo": "<repo>"
    },
    "name": "compare_profile_and_repository_skills"
  }
}

Input Schema

Name	Required	Description	Default
`repo`	Yes	HTTPS GitHub URL or owner/repo identifier.
`pathway`	No	Target pathway skill matrix.	full-stack-developer
`profileRef`	No
`useDemoLinkedIn`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 3, 2026

TDQS

B3.3/5.0

Behavior2/5

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

No annotations are provided, so the description carries full behavioral burden. It does not disclose whether the tool is read-only, whether it mutates anything, whether it requires auth, or how it handles the 'selected repository' when evidence is missing. Crucial details like demo defaults or profile fetching are absent.

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, well-structured sentence with no filler. It front-loads the core action and resource, covering the essential purpose without unnecessary detail. Every word adds value.

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

Completeness2/5

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

With no output schema and no annotations, the description is too sparse for a 4-parameter comparison tool. It does not explain what the output looks like, how evidence matching is determined, or what edge cases exist (e.g., missing profile, empty repo). Missing usage and behavioral guidance makes it incomplete for reliable invocation.

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

Parameters2/5

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

Schema coverage is 50% (only repo and pathway have descriptions). The tool description adds context by mentioning 'selected repository' and 'self-reported LinkedIn skills', but it does not clarify profileRef or useDemoLinkedIn, which have no schema descriptions. For a 4-parameter tool, this is insufficient compensation.

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?

The description uses a specific verb ('identify') and clearly names the resources ('self-reported LinkedIn skills' and 'GitHub evidence in the selected repository'). This precisely differentiates the tool from siblings like get_linkedin_profile (which only fetches) and get_repository_snapshot (which only snaps repo). The 'do / do not have matching' phrasing explicitly signals a comparison task.

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 description implies the tool is used when you need to compare LinkedIn skills against repo evidence, but it does not explicitly state when to use it vs. alternatives or any exclusions. No alternative tools are mentioned, so the agent must infer usage from the name and sibling context.

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

Deploy Server