Skip to main content
Glama

Score fit

score_fit

Score resume fit to job posting on 1-5 scale with recommendation, and verify if posting is real and active. Helps triage roles needing full tailoring.

Instructions

Score how well a resume fits a job posting on a 1-5 scale (with a recommendation), and separately judge whether the posting looks like a real, active opening. Use it to triage which roles deserve a full tailor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resumeYesThe candidate's full resume text (Markdown or plain text).
job_descriptionYesThe full text of the job posting to tailor toward.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
archetypeYesClosest role archetype, e.g. 'Full-stack + AI' or 'LLMOps'.
rationaleYesA short paragraph justifying the score and the legitimacy tier.
dimensionsYesPer-dimension 1-5 scores.
global_scoreYesWeighted overall 1-5 fit score.
recommendationYesAction threshold derived from the score.
legitimacy_tierYesGhost-job legitimacy read — separate from the fit score.
Behavior3/5

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

No annotations provided, so the description bears full burden. It discloses the outputs (score, recommendation, real/active judgment) but does not explicitly state behavioral aspects like idempotency, side effects, or required permissions. For a scoring tool, this is adequate but not comprehensive.

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 two sentences: the first explains core functionality, the second provides usage guidance. Every sentence adds value with no redundancy or filler.

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?

Given that an output schema exists (even if not shown), the description sufficiently explains the two main outputs. For a simple scoring tool, this covers all essential aspects for an agent to use it correctly in context.

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?

Input schema has 100% coverage with descriptions for both parameters (resume and job_description). The description adds no extra meaning beyond the schema, so baseline score of 3 applies.

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 clearly states the tool scores resume-job fit on a 1-5 scale with a recommendation and separately judges posting authenticity. It explicitly contrasts with sibling tools by noting it's for triage before full tailoring.

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?

The description explicitly says to use it for triaging roles that deserve a full tailor, providing clear context. It does not explicitly mention when not to use it or name alternative tools, but the usage is well implied.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mr-martinsosa/resume-tailor-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server