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dreamworkhq

Dreamwork MCP Server

Official

Read how the resume's experience was understood

get_resume_work_history
Read-only

Retrieve the account's main resume work history grouped by employer, title, location, dates, and bullets, plus achievements and a status for ready, pending, or unavailable.

Instructions

Returns the account's main resume grouped by role: each employer with its title, location, dates and bullets as read from the file's page layout, plus achievements placed under no role and a count of bullets whose extracted-text position disagrees with the layout. status is ready, pending (still being read; call again shortly) or unavailable (no resume, or it could not be read).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
rolesYes
sourceYes`pdf` when read from the uploaded file's layout, `text` when only the extracted text was available (a DOCX, or a file too large to read as pages).
statusYes`ready` carries the grouping. `pending` and `unavailable` carry empty lists.
derivedAtYes
unattributedYesAchievements the resume lists under no role, such as a Key Achievements section, or lines the layout left unplaced. Generated materials never attach these to an employer.
bulletsOutOfTextOrderYesHow many bullets the resume's extracted text places under a different role than its page layout does, which usually means a two-column file. Zero means none detected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only, non-destructive, closed-world behavior, so the burden is lighter, and the description layers on real value: the three status states with their meanings, the fact that data is parsed from page layout, and that a count is returned for bullets whose extracted position disagrees with the layout. It does not cover auth or rate limits, but the domain-specific caveats are unusually informative.

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?

Effectively two sentences, front-loaded with the return shape and then the status semantics. Dense but every clause carries meaning; slightly heavy for a single paragraph, though nothing is padding.

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

Completeness4/5

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

The tool is parameterless and read-only, with an output schema present, so the description need not restate return values. It still proactively explains the grouping model, residual anomalies, and the polling implication of 'pending', leaving no gap an agent must guess at before calling.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline of 4 applies. There is nothing for the description to disambiguate, and it does not invent or confuse any input contract.

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 (returns the account's main resume) and adds precise scope: 'grouped by role' with employer, title, location, dates, bullets, plus orphaned achievements and an anomaly count. This is clearly distinguishable from siblings like edit_resume, upload_resume, or get_resume_download_link.

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?

There is no explicit routing against alternatives (e.g., versus get_generated_resumes or edit_resume), but the description does give operational guidance for the pending state ('still being read; call again shortly') and defines when 'unavailable' applies. Usage is implied rather than stated.

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