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Start a mock interview

start_mock_interview

Starts a mock interview for a project, program or product manager (or a business analyst) from the resume text and, optionally, a job posting and a company name. Picks 5 to 10 questions for one interview stage (screen, hiring_manager, panel or final) from the resume lines, the requirements of the posting, behavioral questions for the role and company principle questions, each with the competency it tests and the follow-up probes an interviewer uses. Returns a session id and the first question only. The session is kept 24 hours, encrypted with the account key. Questions are written in English; optional lang names the person's language. Contact details are removed first. Requires sign-in with a PM Career Desk account that has an Interview Coach Pass.

Input Schema

NameRequiredDescriptionDefault
langNoThe language the person writes in, as a code such as es, fr or ru; empty or en for English. The result names this language; findings are written in English.
roleNoOptional. One of project-manager, program-manager, technical-program-manager, product-manager, scrum-master, pmo, it-manager, business-analyst, delivery-manager; a title as written (for example Senior Program Manager) is also read. Empty when not sure.
stageNoThe interview stage: screen, hiring_manager, panel or final.hiring_manager
lengthNoThe number of questions, 5 to 10; a number outside is held to the nearest end.
companyNoOptional. The employer's name as written in the posting.
job_postingNoThe full text of the job posting, as the person gave it. Optional; with it the result adds the requirements, the gaps and questions about them.
resume_textYesThe resume as plain text, copied in full from what the person pasted or from the text of the file they attached. At least the summary and the experience section.
resume_outlineNoOptional structure of the resume: roles with title, company, dates and bullets; summary; skills; certifications; education. Every line must appear word for word in resume_text; lines that do not are left out and counted in the result. Without it the plain text is read.
job_requirementsNoOptional. The requirement lines of the job posting, each word for word from job_posting; lines that are not are left out and counted in the result. Without them the requirements are read from job_posting.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=false): it discloses 24-hour session retention, account-key encryption, contact-detail stripping before processing, English-only question output, and the auth/pass requirement. These are exactly the operational facts an agent cannot get from structured fields.

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?

One dense paragraph with the core action and role scope front-loaded, then generation logic, then return value, then constraints. It is long but nearly every clause carries information; only the question-composition sentence is somewhat sprawling.

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?

With no output schema, the description carries the return burden and does so ('session id and the first question only'), plus retention, encryption, PII handling, language behavior and prerequisites. For a 9-parameter, non-idempotent creation tool this covers everything needed to call it correctly.

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?

Schema coverage is 100%, so the baseline is 3; the description adds cross-parameter behavior by stating that lang only names the person's language while questions remain English, and that length is clamped to 5-10. It does not elaborate on how job_posting and job_requirements interact beyond what the schema already says.

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?

Specific verb and resource: 'Starts a mock interview' for a named set of PM/BA roles, generated from resume text plus optional posting and company. It also scopes the output precisely ('Returns a session id and the first question only'), which clearly separates it from answer_mock_question and finish_mock_interview.

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?

Gives clear operating context: it is the session entry point, it needs a PM Career Desk account with an Interview Coach Pass, and it produces the session id that later steps consume. It never names a sibling such as prepare_interview_questions or prepare_interview_plan, so an agent must infer why one is preferred over the other.

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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