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jhgaylor

jakegaylor-com-mcp-server

by jhgaylor

assess_role_fit

Evaluate how well Jake Gaylor matches a job role by analyzing the job title, description, and key requirements to determine suitability.

Instructions

Assess Jake Gaylor's fit for a specific role based on job description

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_titleYesTitle of the job position
job_descriptionYesFull job description text
key_requirementsYesComma-separated list of key requirements for the role
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only states the tool's purpose without describing side effects, output format, data sources, or authorization needs. Agents cannot infer whether this is read-only or what the assessment entails.

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?

The description is a single sentence with no fluff, making it concise. However, it could be slightly more informative without sacrificing brevity, such as mentioning the output or data sources.

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?

Given the absence of an output schema and annotations, the description lacks critical context. It does not explain how the assessment is computed, what the result looks like, or how it relates to sibling tools that provide candidate data. The tool is too vague for reliable invocation.

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%, so the baseline is 3. The description adds no additional meaning beyond the parameter names and schema descriptions. The parameter descriptions are sufficient but the tool's description does not enhance understanding of how parameters influence the assessment.

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 verb 'assess' and the resource 'fit for a specific role based on job description', distinguishing it from sibling tools like get_resume_text or generate_interview_questions. However, the specific reference to 'Jake Gaylor' may limit generality or confuse agents about its applicability to other candidates.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., candidate data availability) or situations where this tool would be inappropriate. Agents lack context for decision-making.

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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